Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
The state of the art of deep learning models in medical science and their challenges
With time, AI technologies have matured well and resonated in various domains of applied
sciences and engineering. The sub-domains of AI, machine learning (ML), deep learning …
sciences and engineering. The sub-domains of AI, machine learning (ML), deep learning …
Breast cancer histopathology image classification using an ensemble of deep learning models
Breast cancer is one of the major public health issues and is considered a leading cause of
cancer-related deaths among women worldwide. Its early diagnosis can effectively help in …
cancer-related deaths among women worldwide. Its early diagnosis can effectively help in …
Classification of breast tumors based on histopathology images using deep features and ensemble of gradient boosting methods
Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis
of this disease can significantly improve the efficiency of treatment. Computer-Aided …
of this disease can significantly improve the efficiency of treatment. Computer-Aided …
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Abstract The Global Cancer Statistics 2020 reported breast cancer (BC) as the most
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …
[HTML][HTML] An investigation of XGBoost-based algorithm for breast cancer classification
Breast cancer is one of the leading cancers affecting women around the world. The
Computer-Aided Diagnosis (CAD) system is a powerful tool to assist pathologists during the …
Computer-Aided Diagnosis (CAD) system is a powerful tool to assist pathologists during the …
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning
Breast cancer is a common cancer in women. Early detection of breast cancer in particular
and cancer, in general, can considerably increase the survival rate of women, and it can be …
and cancer, in general, can considerably increase the survival rate of women, and it can be …
[HTML][HTML] An overview of deep learning in medical imaging
Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …
growth in recent years. The scientific community has focused its attention on DL due to its …
Transfer learning-assisted multi-resolution breast cancer histopathological images classification
Breast cancer is one of the leading death cause among women nowadays. Several methods
have been proposed for the detection of breast cancer. Various machine learning-based …
have been proposed for the detection of breast cancer. Various machine learning-based …
Bracs: A dataset for breast carcinoma subty** in h&e histology images
Breast cancer is the most commonly diagnosed cancer and registers the highest number of
deaths for women. Advances in diagnostic activities combined with large-scale screening …
deaths for women. Advances in diagnostic activities combined with large-scale screening …