Atlas of Breast Pathology Images

Breast pathology is a complex and evolving field that plays a critical role inthe diagnosis and management of breast diseases, ranging from benignconditions to malignant neoplasms. Accurate histopathologicalinterpretation is essential for guiding clinical decisions, prognosticassessments, and therapeutic strategies. However, mastering breastpathology requires not only a solid foundation in histological features butalso extensive exposure to a wide variety of cases to recognize subtlemorphological variations.This Atlas of Breast Pathology Images is designed as a comprehensive visualreference for pathologists, pathology residents, and medical professionalsinvolved in the diagnosis of breast diseases. It provides a curated collectionof high-quality histological images, encompassing both common and rarebreast lesions. Each image is accompanied by concise, clinically relevantannotations to enhance understanding and facilitate learning.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-13
DOI
https://doi.org/10.5281/zenodo.15872082
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

Atlas of Breast Pathology Images

Zenodo (CERN European Organization for Nuclear Research)
AI in cancer detection
article

Atlas of Breast Pathology Images

article en

Abstract

Breast pathology is a complex and evolving field that plays a critical role inthe diagnosis and management of breast diseases, ranging from benignconditions to malignant neoplasms. Accurate histopathologicalinterpretation is essential for guiding clinical decisions, prognosticassessments, and therapeutic strategies. However, mastering breastpathology requires not only a solid foundation in histological features butalso extensive exposure to a wide variety of cases to recognize subtlemorphological variations.This Atlas of Breast Pathology Images is designed as a comprehensive visualreference for pathologists, pathology residents, and medical professionalsinvolved in the diagnosis of breast diseases. It provides a curated collectionof high-quality histological images, encompassing both common and rarebreast lesions. Each image is accompanied by concise, clinically relevantannotations to enhance understanding and facilitate learning.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 77%
AI in cancer detection
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