Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions
AB Tufail, YK Ma, MKA Kaabar… - … Methods in Medicine, 2021 - Wiley Online Library
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …
applied to many areas in different domains such as health care and drug design. Cancer …
A survey on artificial intelligence in histopathology image analysis
The increasing adoption of the whole slide image (WSI) technology in histopathology has
dramatically transformed pathologists' workflow and allowed the use of computer systems in …
dramatically transformed pathologists' workflow and allowed the use of computer systems in …
Automatic detection of coronavirus disease (COVID-19) in X-ray and CT images: a machine learning based approach
SH Kassania, PH Kassanib, MJ Wesolowskic… - Biocybernetics and …, 2021 - Elsevier
The newly identified Coronavirus pneumonia, subsequently termed COVID-19, is highly
transmittable and pathogenic with no clinically approved antiviral drug or vaccine available …
transmittable and pathogenic with no clinically approved antiviral drug or vaccine available …
Automated methods for detection and classification pneumonia based on x-ray images using deep learning
K El Asnaoui, Y Chawki, A Idri - Artificial intelligence and blockchain for …, 2021 - Springer
Recently, researchers, specialists, and companies around the world are rolling out deep
learning and image processing-based systems that can fastly process hundreds of X-Ray …
learning and image processing-based systems that can fastly process hundreds of X-Ray …
[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 …
Breast cancer diagnosis in histopathological images using ResNet-50 convolutional neural network
QA Al-Haija, A Adebanjo - 2020 IEEE International IOT …, 2020 - ieeexplore.ieee.org
Breast cancer disease is the second most common world cause of cancer death in women.
However, the early diagnostics and detection can provide a significant chance for correct …
However, the early diagnostics and detection can provide a significant chance for correct …
Diabetic retinopathy classification using a modified xception architecture
SH Kassani, PH Kassani… - … symposium on signal …, 2019 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is one of the major causes of blindness worldwide. With proper
treatment, early diagnosis of DR can prevent the progression of the disease. In this paper …
treatment, early diagnosis of DR can prevent the progression of the disease. In this paper …
Gamma function based ensemble of CNN models for breast cancer detection in histopathology images
Breast cancer is the second deadliest disease amongst women worldwide. Breast
histopathology image analysis is one of the most powerful ways used for the detection of …
histopathology image analysis is one of the most powerful ways used for the detection of …
Pneumonia detection on chest X-ray images using ensemble of deep convolutional neural networks
Pneumonia is a life-threatening lung infection resulting from several different viral infections.
Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity …
Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity …
Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network
The analysis of tissue of a tumor in the oral cavity is essential for the pathologist to ascertain
its grading. Recent studies using biopsy images reveal computer-aided diagnosis for oral …
its grading. Recent studies using biopsy images reveal computer-aided diagnosis for oral …