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Transfer learning with deep Convolutional Neural Network (CNN) for pneumonia detection using chest X-ray
(
MDPI AG
, 2020 , Article)
Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon at the right time and thus the early diagnosis of pneumonia is ...
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Radiographic images are commonly used to detect aseptic loosening of the hip implant in patients with total hip replacement (THR) surgeries. These techniques of manual assessment by medical professionals can suffer from ...
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
(
Springer Nature
, 2023 , Article)
Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons which affects the motor capacity of the patient. Particularly the walking gait is greatly influenced by the deterioration process. Early ...
Fiber Bragg Gratings based smart insole to measure plantar pressure and temperature
(
Elsevier
, 2022 , Article)
Various foot complications can be easily avoided by continuously monitoring plantar (foot sole) pressure and temperature at home. Systems which can simultaneously measure plantar pressure and temperature in real time are ...
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
(
Elsevier
, 2023 , Article)
Fetal heart monitoring and early disease detection using non-invasive fetal electrocardiograms (fECG) can help substantially to reduce infant death through improved diagnosis of Coronary Heart Disease (CHD) in the fetus. ...
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When ...
Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters
(
Elsevier
, 2023 , Article)
According to UNESCO's Atlas of the World's Languages in Danger, 40% of the languages today are counted as endangered in the future. Indigenous languages are endangered because of the less availability of interactive learning ...
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective ...
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ...
Explainable deep learning model for automatic mulberry leaf disease classification
(
Frontiers Media SA
, 2023 , Article)
Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world’s raw silk. Manual leaf disease ...