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A review of deep transfer learning and recent advancements
Deep learning has been the answer to many machine learning problems during the past two
decades. However, it comes with two significant constraints: dependency on extensive …
decades. However, it comes with two significant constraints: dependency on extensive …
Secure and robust machine learning for healthcare: A survey
Recent years have witnessed widespread adoption of machine learning (ML)/deep learning
(DL) techniques due to their superior performance for a variety of healthcare applications …
(DL) techniques due to their superior performance for a variety of healthcare applications …
COVID-19 detection through transfer learning using multimodal imaging data
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …
containment decisions. In this study, we demonstrate how transfer learning from deep …
Deep transfer learning based classification model for COVID-19 disease
The COVID-19 infection is increasing at a rapid rate, with the availability of limited number of
testing kits. Therefore, the development of COVID-19 testing kits is still an open area of …
testing kits. Therefore, the development of COVID-19 testing kits is still an open area of …
HiFuse: Hierarchical multi-scale feature fusion network for medical image classification
X Huo, G Sun, S Tian, Y Wang, L Yu, J Long… - … Signal Processing and …, 2024 - Elsevier
Effective fusion of global and local multi-scale features is crucial for medical image
classification. Medical images have many noisy, scattered features, intra-class variations …
classification. Medical images have many noisy, scattered features, intra-class variations …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID‐19 Identification in Chest X‐Ray Images
COVID‐19 is a new disease, caused by the novel coronavirus SARS‐CoV‐2, that was firstly
delineated in humans in 2019. Coronaviruses cause a range of illness in patients varying …
delineated in humans in 2019. Coronaviruses cause a range of illness in patients varying …
Medical image classification using synergic deep learning
The classification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Although deep learning has shown proven advantages …
medical image retrieval and mining. Although deep learning has shown proven advantages …
[HTML][HTML] Transfer learning with fine-tuned deep CNN ResNet50 model for classifying COVID-19 from chest X-ray images
COVID-19 cases are putting pressure on healthcare systems all around the world. Due to
the lack of available testing kits, it is impractical for screening every patient with a respiratory …
the lack of available testing kits, it is impractical for screening every patient with a respiratory …
Deep facial diagnosis: deep transfer learning from face recognition to facial diagnosis
The relationship between face and disease has been discussed from thousands years ago,
which leads to the occurrence of facial diagnosis. The objective here is to explore the …
which leads to the occurrence of facial diagnosis. The objective here is to explore the …