Robust mitosis detection in breast cancer histopathology images using convolutional neural network

Efficient Deep Learning Model for Mitosis Detection using Breast Histopathology Images

AI-Assisted Early Detection of Breast Cancer Using Histopathological Image Analysis

Breast cancer is one of the most common cancers among women worldwide with more than 2.3 million new breast cancer cases diagnosed each year [1], where early detection has a significantly positive effect on patient survival rates. Examination of histopathological features remains the gold standard [2] in the diagnosis...

Implementation Of Convolutional Neural Network(CNN) Resnet-50 Architecture For Mammography Image Classification In Early Breast Cancer Detection

Breast cancer is one of the leading causes of death among women. Early detection through mammography screening is crucial to reduce mortality rates. However, manual image interpretation by radiologists is susceptible to subjectivity and visual fatigue, which can lead to misdiagnoses (False Positives and False Negatives...

An Efficient CNN with Multiscale Feature Extraction for Breast Cancer Histopathology Analysis

Timely and accurate diagnosis of breast cancer plays a vital role in ensuring effective treatment outcomes. Histopathology image analysis is reliable, while time-consuming and prone to human error due to the large number of slides that pathologists must review. To address these challenges, we propose a computationally...

Enhancing Breast Cancer Detection through Multimodal 2D Convolutional Neural Networks: Integrating Mammogram Imaging and Numerical Features

Breast cancer is a significant cause of mortality, highlighting the need for early and accurate detection to improve patient outcomes. Traditional mammography, though widely used, has limitations in distinguishing malignancies, particularly in cases of dense breast tissue, calcifications, and fatty breast. This study p...

Precision in Breast Cancer Detection with Advanced Deep Learning for Lesion Localization and Classification

Breast cancer is a global threat that mainly pertains to women. The need for detection at an early stage is crucial, but accurate detection of lesions due to breast cancer is still a huge challenge worldwide. This paper deals with the need for accurate detection and classification of lesions in mammogram images. A comp...