Breast histopathological image analysis using image processing techniques for diagnostic purposes: A methodological review
Breast cancer in women is the second most common cancer worldwide. Early detection of
breast cancer can reduce the risk of human life. Non-invasive techniques such as …
breast cancer can reduce the risk of human life. Non-invasive techniques such as …
Incorporating a novel dual transfer learning approach for medical images
Recently, transfer learning approaches appeared to reduce the need for many classified
medical images. However, these approaches still contain some limitations due to the …
medical images. However, these approaches still contain some limitations due to the …
Multi-classification of breast cancer lesions in histopathological images using DEEP_Pachi: Multiple self-attention head
Introduction and Background: Despite fast developments in the medical field, histological
diagnosis is still regarded as the benchmark in cancer diagnosis. However, the input image …
diagnosis is still regarded as the benchmark in cancer diagnosis. However, the input image …
[PDF][PDF] Classification of breast cancer images using new transfer learning techniques
Breast cancer is one of the most common types of cancer among women, which requires
building smart systems to help doctors and early detection of cancer. Deep learning …
building smart systems to help doctors and early detection of cancer. Deep learning …
Breast cancer images Classification using a new transfer learning technique
MA Mohammed, AA Mukhlif… - Iraqi Journal for …, 2023 - ijcsm.researchcommons.org
Breast cancer is one of the most common types of cancer among women, which requires
building smart systems to help doctors and early detection of cancer. Deep learning …
building smart systems to help doctors and early detection of cancer. Deep learning …
BCHisto-Net: Breast histopathological image classification by global and local feature aggregation
Breast cancer among women is the second most common cancer worldwide. Non-invasive
techniques such as mammograms and ultrasound imaging are used to detect the tumor …
techniques such as mammograms and ultrasound imaging are used to detect the tumor …
Convolution neural network based approach for breast cancer type classification
T Kausar, MA Ashraf, A Kausar… - … Bhurban Conference on …, 2021 - ieeexplore.ieee.org
Breast cancer is ranked high amongst the main causes of death that badly effected women
worldwide. Cancer diagnosis is commonly carried out from Hematoxylin and Eison (H&E) …
worldwide. Cancer diagnosis is commonly carried out from Hematoxylin and Eison (H&E) …
[PDF][PDF] Breast Cancer Histopathological Image Classification using Deep Convolutional Neural Network
VM Siddegowda - osf.io
Deep learning has come up with the intense class of models which have potential
applications in the field of image classification, video recognition, object recognition, natural …
applications in the field of image classification, video recognition, object recognition, natural …