Towards generalist biomedical AI
Background Medicine is inherently multimodal, requiring the simultaneous interpretation
and integration of insights between many data modalities spanning text, imaging, genomics …
and integration of insights between many data modalities spanning text, imaging, genomics …
Breast cancer dataset, classification and detection using deep learning
Incorporating scientific research into clinical practice via clinical informatics, which includes
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
Diagnosis of breast cancer using machine learning techniques-a survey
RK Yadav, P Singh, P Kashtriya - Procedia Computer Science, 2023 - Elsevier
Breast cancer is a disease in which the cells of the breast develop unnaturally and
uncontrollably, resulting in a mass called a tumor. If lumps in the breast are not addressed …
uncontrollably, resulting in a mass called a tumor. If lumps in the breast are not addressed …
Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm
J Jiang, J Peng, C Hu, W Jian, X Wang, W Liu - Artificial Intelligence in …, 2022 - Elsevier
In recent years, deep learning has been used to develop an automatic breast cancer
detection and classification tool to assist doctors. In this paper, we proposed a three-stage …
detection and classification tool to assist doctors. In this paper, we proposed a three-stage …
Waste reduction via image classification algorithms: beyond the human eye with an AI-based vision
Modern manufacturing is the world's largest and most automated industrial sector. The rise
of Industry 4.0 technologies such as Big Data, Internet of Things (IoT) devices, and Machine …
of Industry 4.0 technologies such as Big Data, Internet of Things (IoT) devices, and Machine …
Exploiting patch sizes and resolutions for multi-scale deep learning in mammogram image classification
Recent progress in deep learning (DL) has revived the interest on DL-based computer aided
detection or diagnosis (CAD) systems for breast cancer screening. Patch-based approaches …
detection or diagnosis (CAD) systems for breast cancer screening. Patch-based approaches …
A systematic review of breast cancer detection using machine learning and deep learning
Cancer develops when few cells in the body develop abnormally propagate across different
regions within the body. Cancer in breast occurs because certain cells in the breast expand …
regions within the body. Cancer in breast occurs because certain cells in the breast expand …
Attention-based deep learning system for classification of breast lesions—multimodal, weakly supervised approach
Simple Summary Breast cancer affects millions of women worldwide. We aim to provide
radiologists with automatic support for mammography review. We propose deploying deep …
radiologists with automatic support for mammography review. We propose deploying deep …
ELUCNN for explainable COVID-19 diagnosis
SH Wang, SC Satapathy, MX Xie, YD Zhang - Soft Computing, 2023 - Springer
COVID-19 is a positive-sense single-stranded RNA virus caused by a strain of coronavirus,
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Several noteworthy …
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Several noteworthy …