Artificial intelligence for breast cancer analysis: Trends & directions

SM Shah, RA Khan, S Arif, U Sajid - Computers in Biology and Medicine, 2022 - Elsevier
Breast cancer is one of the leading causes of death among women. Early detection of breast
cancer can significantly improve the lives of millions of women across the globe. Given …

Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies

M Radak, HY Lafta, H Fallahi - Journal of Cancer Research and Clinical …, 2023 - Springer
Background Breast cancer is a major public health concern, and early diagnosis and
classification are critical for effective treatment. Machine learning and deep learning …

Breast cancer detection on histopathological images using a composite dilated Backbone Network

V Mohanakurup… - Computational …, 2022 - Wiley Online Library
Breast cancer is a lethal illness that has a high mortality rate. In treatment, the accuracy of
diagnosis is crucial. Machine learning and deep learning may be beneficial to doctors. The …

Histopathological image classification using dilated residual grooming kernel model

R Kashyap - International Journal of Biomedical …, 2023 - inderscienceonline.com
Breast cancer is being diagnosed earlier and more accurately through deep learning and
machine learning models. This study contributes to medical science and technology using a …

[HTML][HTML] Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis

K Kourou, KP Exarchos, C Papaloukas… - Computational and …, 2021 - Elsevier
Artificial Intelligence (AI) has recently altered the landscape of cancer research and medical
oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep …

Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix

Y Hao, L Zhang, S Qiao, Y Bai, R Cheng, H Xue, Y Hou… - Plos one, 2022 - journals.plos.org
Breast cancer is regarded as the leading killer of women today. The early diagnosis and
treatment of breast cancer is the key to improving the survival rate of patients. A method of …

GARL-Net: Graph based adaptive regularized learning deep network for breast cancer classification

V Patel, V Chaurasia, R Mahadeva, SP Patole - IEEE Access, 2023 - ieeexplore.ieee.org
Across the globe, women suffer from breast cancer fatal disease. It is arising surprisingly due
to a lack of awareness among them and the inconvenient reach of diagnostic systems. Many …

A systematic literature review of breast cancer diagnosis using machine intelligence techniques

V Nemade, S Pathak, AK Dubey - Archives of Computational Methods in …, 2022 - Springer
Breast cancer is one of the most common diseases in women; it can have long-term
implications and can even be fatal. However, early detection, achieved through recent …

Dilated residual grooming kernel model for breast cancer detection

R Kashyap - Pattern Recognition Letters, 2022 - Elsevier
Breast cancer is the most significant cause of mortality among women. When detected and
treated early, it saves lives. Breast cancer detection is becoming more accessible and …

[HTML][HTML] A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images

AK Chanchal, S Lal, R Kumar, JT Kwak, J Kini - Scientific Reports, 2023 - nature.com
Trends of kidney cancer cases worldwide are expected to increase persistently and this
inspires the modification of the traditional diagnosis system to respond to future challenges …