Go back

Study Complete Details




Project Accession: IBIAP_1000000010
Title: Histopathological images of thyroid lesions
Representative Image:
Description: The dataset comprises 154,498 images derived from 134 slides, representing 125 thyroid nodules from 118 patients. These images encompass six types of thyroid lesions: NIFTP, HTN, FA, IEFVPTC, IFSPTC, and CPTC.
Publications: https://link.springer.com/article/10.1007/s12022-025-09865-0
Associated Codes (URL only): N/A
Funding agency: DBT
Grant Number: BT/PR34211/AI/133/1/2019
Ethics Statement: N/A
Any Other Information : N/A
Additional File: N/A
Acknowledgments: This work was supported by the Department of Biotechnology (DBT) [grant numbers BT/PR34211/AI/133/1/2019 and BT/PR40151/BTIS/137/5/2021]. We would like to express our gratitude to the patients who participated in the study, as well as to the AIIMS and ICGEB for providing the necessary infrastructure for conducting the study. We acknowledge Chhaya, Ashish, Divya and Dhairya's crucial assistance in image QC data curation.

Sr.No First name Last name Email Organization Designation
1 Shweta Birla sbirla84@gmail.com International Centre for Genetic Engineering Biotechnology (ICGEB) Postdoctoral Researcher
2 Nimisha Tiwari nimi.tiwari08@gmail.com International Centre for Genetic Engineering Biotechnology (ICGEB) Research Scholar
3 Pragati Shyamal pragatishyamal1@gmail.com All India Institute of Medical Sciences (AIIMS) Unspecified
4 Arundhati Sharma arundhatisharma1@gmail.com All India Institute of Medical Sciences (AIIMS) Co-Investigator
5 Shipra Agarwal drshipra0902@gmail.com All India Institute of Medical Sciences (AIIMS) Principal Investigator
6 Dinesh Gupta dinesh@icgeb.res.in International Centre for Genetic Engineering Biotechnology (ICGEB) Co-Principal Investigator

Study Accession: HISTOS_1000000014
Title: Utility of Artificial Intelligence in differentiating Non- invasive Follicular Thyroid Neoplasm with Papillary like Nuclear Features from other follicular-patterned thyroid benign and malignant lesions
Imaging Type: Histopathology (HISTO)
Imaging Sub-type: Diagnostic Pathology
Summary: The introduction of the term non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) in 2016 marked a pivotal shift in the classification of encapsulated follicular variants of papillary thyroid carcinoma (eFVPTC) lacking invasive features. While this reclassification significantly reduced overtreatment, the histopathological diagnosis of NIFTP remains challenging due to overlapping features with other thyroid lesions and inter-observer variability. This study presents a novel deep learning (DL)-based, three-stage diagnostic pipeline for distinguishing NIFTP from a wide spectrum of thyroid lesions, including benign and malignant mimics. By replicating the diagnostic strategy of histopathologists, the algorithm evaluates architectural patterns and nuclear features with high precision. Our approach has a potential to enhance diagnostic accuracy in a cost-effective and scalable manner, complementing existing diagnostic methods and thus optimizing clinical decision-making and improving the management of patients with thyroid neoplasms.
Keywords: Histopathology; Deep-Learning; Differential Diagnosis; Thyroid Cancers
Additional / Any Other Information: N/A
Release Date: June 2, 2025
Access Licence Type: Open Access

Table 1. The sample types registered under this study are as follows:
Sample Type IDOrganismTaxon IDBiological EntityLateralitySource TissueSource Cell/Cell-lineCell Organelle
HISTOSMT_10000000038Homo sapiens 9606 Thyroid GlandNot ApplicableThyroid gland tissueN/AN/A

Table 2. The samples registered under this study are as follows:
Sample Type ID Sample ID Method used for Sample Collection Cell Phenotype Studied ICD-11 Code (patient health condition) Presentation / Clinical Diagnosis
HISTOSMT_10000000038 HISTOSM_10000062833 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215021 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062835 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215053 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062837 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215149 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062839 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215231 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062841 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215232 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062843 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215245 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062845 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215597 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062847 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215629 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062849 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215085 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features
HISTOSMT_10000000038 HISTOSM_10000062851 N/A N/A 5A01.2 FND
HISTOSMT_10000000038 HISTOSM_10000215117 N/A N/A XH6SY0 / XH0Q59 / XH29M4 PTC like features

Table 3. The experiment types registered under this study are as follows:
Experiment Type IDInstrument NameInstrument TypeManufacturerModel
HISTOET_10000000015Digital Slide Scanning SystemDigital Slide ScannerMoticVM1


Experimental Design Summary (HISTOET_10000000015)
Hematoxylin and Eosin (H&E)-stained slides of histopathologically-confirmed cases of FND, HTN,FA, NIFTP, IEFVPTC, IFSPTC, and CPTC patients were retrieved from the archives of the Department of Pathology, All India Institute of Medical Sciences (AIIMS), New Delhi, India, spanning the period from 2015 to 2023. The corresponding slides were further reviewed by an experienced endocrine pathologist to reconfirm the diagnosis and select representative slides for further analysis. The diagnosis adhered to the criteria outlined in the most recent WHO classification of thyroid neoplasms The selected H&E slides were scanned at 40x magnification (equivalent to 0.25 μm/pixel) using the Motic VM1 whole slide scanner to generate whole slide images (WSIs). The slides were than subjected to AI studies.

Acquired Images Annotation Description (HISTOET_10000000015)
WHO defining criteria for the various thyroid lesions included in the study. For more details, please refer to "Additional File" of the "Project" section for this record.

Table 4. The experiments registered under this study are as follows:
Sample ID Experiment Type ID Experiment ID Image type (Original / Derived / Unknown) Any Other Information Staining Type Images Magnification Tissue / Tumor Fixative Used Dataset Split Type (Training / Validation / Test)
HISTOSM_10000061865 HISTOET_10000000015 HISTOE_10000061865 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061866 HISTOET_10000000015 HISTOE_10000061866 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061867 HISTOET_10000000015 HISTOE_10000061867 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000190350 HISTOET_10000000015 HISTOE_10000190343 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061869 HISTOET_10000000015 HISTOE_10000061869 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061870 HISTOET_10000000015 HISTOE_10000061870 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061871 HISTOET_10000000015 HISTOE_10000061871 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061872 HISTOET_10000000015 HISTOE_10000061872 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061873 HISTOET_10000000015 HISTOE_10000061873 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061874 HISTOET_10000000015 HISTOE_10000061874 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061875 HISTOET_10000000015 HISTOE_10000061875 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061876 HISTOET_10000000015 HISTOE_10000061876 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061877 HISTOET_10000000015 HISTOE_10000061877 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061878 HISTOET_10000000015 HISTOE_10000061878 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061879 HISTOET_10000000015 HISTOE_10000061879 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061880 HISTOET_10000000015 HISTOE_10000061880 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061882 HISTOET_10000000015 HISTOE_10000061882 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061883 HISTOET_10000000015 HISTOE_10000061883 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061884 HISTOET_10000000015 HISTOE_10000061884 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset
HISTOSM_10000061885 HISTOET_10000000015 HISTOE_10000061885 Derived N/A Hematoxylin and Eosin (H&E) 40x 10% Neutral buffered formalin External Test Dataset

Experiment ID Image File Name (with path) Image Preview Image Size
HISTOE_10000062235thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_109.tiff Unable to preview image
Download Image
268K
HISTOE_10000062236thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_10.tiff Unable to preview image
Download Image
236K
HISTOE_10000062237thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_110.tiff Unable to preview image
Download Image
228K
HISTOE_10000062238thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_111.tiff Unable to preview image
Download Image
256K
HISTOE_10000062239thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_112.tiff Unable to preview image
Download Image
272K
HISTOE_10000062240thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_113.tiff Unable to preview image
Download Image
288K
HISTOE_10000062241thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_114.tiff Unable to preview image
Download Image
248K
HISTOE_10000062242thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_115.tiff Unable to preview image
Download Image
248K
HISTOE_10000062243thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_116.tiff Unable to preview image
Download Image
248K
HISTOE_10000062244thyroid_lesions/STAGE1_BTID/ET_BTID/ET_FND/ET_FND_117.tiff Unable to preview image
Download Image
260K