[HTML][HTML] Deep learning in computer vision: A critical review of emerging techniques and application scenarios
Deep learning has been overwhelmingly successful in computer vision (CV), natural
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
U-net and its variants for medical image segmentation: A review of theory and applications
U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …
tasks. These traits provide U-net with a high utility within the medical imaging community …
[HTML][HTML] Brain tumor detection in MR image using superpixels, principal component analysis and template based K-means clustering algorithm
In the present era, human brain tumor is the extremist dangerous and devil to the human
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …
On the performance of deep transfer learning networks for brain tumor detection using MR images
S Ahmad, PK Choudhury - IEEE Access, 2022 - ieeexplore.ieee.org
A brain tumor need to be identified in its early stage, otherwise it may cause severe
condition that cannot be cured once it is progressed. A precise diagnosis of brain tumor can …
condition that cannot be cured once it is progressed. A precise diagnosis of brain tumor can …
Brain tumor segmentation and classification using hybrid deep CNN with LuNetClassifier
T Balamurugan, E Gnanamanoharan - Neural Computing and Applications, 2023 - Springer
Brain tumour detection is essential for improving patient survival and prospects. This
research work necessitates a physical examination with magnetic resonance imaging (MRI) …
research work necessitates a physical examination with magnetic resonance imaging (MRI) …
Multiclass skin cancer classification using ensemble of fine-tuned deep learning models
Skin cancer is a widespread disease associated with eight diagnostic classes. The
diagnosis of multiple types of skin cancer is a challenging task for dermatologists due to the …
diagnosis of multiple types of skin cancer is a challenging task for dermatologists due to the …
[PDF][PDF] Classification of pneumonia cell images using improved ResNet50 model
Accepted: 23 December 2020 Pneumonia is a disease caused by inflammation of the lung
tissue that is transmitted by various means, primarily bacteria. Early and accurate diagnosis …
tissue that is transmitted by various means, primarily bacteria. Early and accurate diagnosis …
Deep learning systems for automatic diagnosis of infant cry signals
Nowadays, deep learning architectures are promising artificial intelligence systems in
various applications of biomedical engineering. For instance, they can be combined with …
various applications of biomedical engineering. For instance, they can be combined with …
Optimizing CNN‐LSTM hybrid classifier using HCA for biomedical image classification
In medical science, imaging is the most effective diagnostic and therapeutic tool. Almost all
modalities have transitioned to direct digital capture devices, which have emerged as a …
modalities have transitioned to direct digital capture devices, which have emerged as a …
A novel convolutional neural network‐based approach for brain tumor classification using magnetic resonance images
Brain tumor is a disease that seriously threatens human health and can often be treated with
risky surgeries. Experts detect brain tumor with high resolution magnetic resonance (MR) …
risky surgeries. Experts detect brain tumor with high resolution magnetic resonance (MR) …