Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey
Recent advancements with deep generative models have proven significant potential in the
task of image synthesis, detection, segmentation, and classification. Segmenting the medical …
task of image synthesis, detection, segmentation, and classification. Segmenting the medical …
Deep learning in breast cancer imaging: A decade of progress and future directions
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
BTS-ST: Swin transformer network for segmentation and classification of multimodality breast cancer images
Breast cancer is considered the most commonly diagnosed cancer globally and falls second
to lung cancer. For the early detection of breast tumors in women, breast cancer analysis …
to lung cancer. For the early detection of breast tumors in women, breast cancer analysis …
FF-UNet: a U-shaped deep convolutional neural network for multimodal biomedical image segmentation
Automatic multimodal image segmentation is considered a challenging research area in the
biomedical field. U-shaped models have led to an enormous breakthrough in a large …
biomedical field. U-shaped models have led to an enormous breakthrough in a large …
An efficient deep learning-based framework for tuberculosis detection using chest X-ray images
Early diagnosis of tuberculosis (TB) is an essential and challenging task to prevent disease,
decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the …
decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the …
Drug-resistant tuberculosis treatment recommendation, and multi-class tuberculosis detection and classification using ensemble deep learning-based system
C Prasitpuriprecha, SS Jantama, T Preeprem… - Pharmaceuticals, 2022 - mdpi.com
This research develops the TB/non-TB detection and drug-resistant categorization diagnosis
decision support system (TB-DRC-DSS). The model is capable of detecting both TB …
decision support system (TB-DRC-DSS). The model is capable of detecting both TB …
UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network
Rapid and precise segmentation of breast tumors is a severe challenge for the global
research community to diagnose breast cancer in younger females. An ultrasound system is …
research community to diagnose breast cancer in younger females. An ultrasound system is …
Tuberculosis chest X-ray detection using CNN-based hybrid segmentation and classification approach
Tuberculosis still significantly impacts the world's population, with more than 10 million
people getting sick each year. Researchers have focused on developing computer-aided …
people getting sick each year. Researchers have focused on developing computer-aided …
Breast cancer classification and segmentation framework using multiscale CNN and U‐shaped dual decoded attention network
Breast cancer is a mostly diagnosed deadly disease with a high mortality rate that can
effectively be cured by early diagnosis and proper treatment. Ultrasound imaging modality is …
effectively be cured by early diagnosis and proper treatment. Ultrasound imaging modality is …
Effective hybrid attention network based on pseudo-color enhancement in ultrasound image segmentation
X Huang, Q Wang, J Chen, L Chen, Z Chen - Image and Vision Computing, 2023 - Elsevier
Ultrasound image segmentation plays a vital role in the early diagnosis of human diseases.
It helps diagnose many diseases, such as breast cancer, hemangioma, and other …
It helps diagnose many diseases, such as breast cancer, hemangioma, and other …