An Overview of Deep Learning Techniques on Chest X‐Ray and CT Scan Identification of COVID‐19
WC Serena Low, JH Chuah, CATH Tee… - … Methods in Medicine, 2021 - Wiley Online Library
Pneumonia is an infamous life‐threatening lung bacterial or viral infection. The latest viral
infection endangering the lives of many people worldwide is the severe acute respiratory …
infection endangering the lives of many people worldwide is the severe acute respiratory …
[HTML][HTML] Deep learning for image-based liver analysis—A comprehensive review focusing on malignant lesions
Deep learning-based methods, in particular, convolutional neural networks and fully
convolutional networks are now widely used in the medical image analysis domain. The …
convolutional networks are now widely used in the medical image analysis domain. The …
Liver tumor segmentation in CT scans using modified SegNet
S Almotairi, G Kareem, M Aouf, B Almutairi… - Sensors, 2020 - mdpi.com
The main cause of death related to cancer worldwide is from hepatic cancer. Detection of
hepatic cancer early using computed tomography (CT) could prevent millions of patients' …
hepatic cancer early using computed tomography (CT) could prevent millions of patients' …
Weakly labeled data augmentation for deep learning: a study on COVID-19 detection in chest X-rays
S Rajaraman, S Antani - Diagnostics, 2020 - mdpi.com
The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a
pandemic resulting in over 2.7 million infected individuals and over 190,000 deaths and …
pandemic resulting in over 2.7 million infected individuals and over 190,000 deaths and …
Methodological challenges of deep learning in optical coherence tomography for retinal diseases: a review
Artificial intelligence (AI)-based automated classification and segmentation of optical
coherence tomography (OCT) features have become increasingly popular. However, its 3 …
coherence tomography (OCT) features have become increasingly popular. However, its 3 …
Cardiac substructure segmentation with deep learning for improved cardiac sparing
Purpose Radiation dose to cardiac substructures is related to radiation‐induced heart
disease. However, substructures are not considered in radiation therapy planning (RTP) due …
disease. However, substructures are not considered in radiation therapy planning (RTP) due …
Transfer-to-transfer learning approach for computer aided detection of COVID-19 in chest radiographs
The coronavirus disease 2019 (COVID-19) global pandemic has severely impacted lives
across the globe. Respiratory disorders in COVID-19 patients are caused by lung opacities …
across the globe. Respiratory disorders in COVID-19 patients are caused by lung opacities …
[HTML][HTML] Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detection
S Rajaraman, S Antani - MedRxiv, 2020 - ncbi.nlm.nih.gov
Abstract The novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has
caused a pandemic resulting in over 2.7 million infected individuals and over 190,000 …
caused a pandemic resulting in over 2.7 million infected individuals and over 190,000 …
A deep learning based review on abdominal images
Computer-aided diagnosis have stumbled rapidly in the last few years. One of foremost step
in computer-aided diagnosis is organ classification and segmentation. Among various organ …
in computer-aided diagnosis is organ classification and segmentation. Among various organ …
Comparison of single channel indices for U-Net based segmentation of vegetation in satellite images
Hyper-spectral satellite imagery, consisting of multiple visible or infrared bands, is extremely
dense and weighty for deep operations. Regarding problems related to vegetation as, more …
dense and weighty for deep operations. Regarding problems related to vegetation as, more …