A comprehensive review for breast histopathology image analysis using classical and deep neural networks
Breast cancer is one of the most common and deadliest cancers among women. Since
histopathological images contain sufficient phenotypic information, they play an …
histopathological images contain sufficient phenotypic information, they play an …
Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer
Canine mammary tumors (CMTs) have high incidences and mortality rates in dogs. They are
also considered excellent models for human breast cancer studies. Diagnoses of both …
also considered excellent models for human breast cancer studies. Diagnoses of both …
A survey for breast histopathology image analysis using classical and deep neural networks
Abstract Because Breast Histopathology Image Analysis (BHIA) plays a very important role
in breast cancer diagnosis and medical treatment processes, more and more effective …
in breast cancer diagnosis and medical treatment processes, more and more effective …
Recent technical advances in whole slide imaging instrumentation
Microscopic observation of biological specimen smears is the mainstay of diagnostic
pathology, as defined by the Digital Pathology Association. Though automated systems for …
pathology, as defined by the Digital Pathology Association. Though automated systems for …
Characterization of color normalization methods in digital pathology whole slide images
The color rendering of whole-slide images (WSIs) depends on factors involving the sample,
such as tissue type, preparation methods, staining type and staining protocol, as well as …
such as tissue type, preparation methods, staining type and staining protocol, as well as …
Classifications of breast cancer images by deep learning
W Liu, H Li, C Hua, L Zhao - medRxiv, 2020 - medrxiv.org
Background Breast cancer is a leading cause of cancer-related death in women.
Classifications of pathological images are important for its diagnosis and prognosis …
Classifications of pathological images are important for its diagnosis and prognosis …
Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification
K Mahammadli, AB Bereketoglu… - arXiv preprint arXiv …, 2023 - arxiv.org
Breast Cancer is the most common cancer among women, which is also visible in men, and
accounts for more than 1 in 10 new cancer diagnoses each year. It is also the second most …
accounts for more than 1 in 10 new cancer diagnoses each year. It is also the second most …
Development of artificial neural networks for breast histopathological image analysis
C Li, Y Zheng, H Zhang, X Zhou, Y Dai… - Artificial Intelligence in …, 2022 - iopscience.iop.org
In this chapter, we present an introduction to breast histopathological image analysis (BHIA)
algorithms based on artificial neural networks. In the first part, we divide the BHIA …
algorithms based on artificial neural networks. In the first part, we divide the BHIA …