RETRACTED: Utilizing Generative Adversarial Networks for Acne Dataset Generation in Dermatology
A Sankar, K Chaturvedi, AA Nayan, MH Hesamian… - …, 2024 - mdpi.com
Background: In recent years, computer-aided diagnosis for skin conditions has made
significant strides, primarily driven by artificial intelligence (AI) solutions. However, despite …
significant strides, primarily driven by artificial intelligence (AI) solutions. However, despite …
CAT-Seg: cascaded medical assistive tool integrating residual attention mechanisms and Squeeze-Net for 3D MRI biventricular segmentation
Cardiac image segmentation is a critical step in the early detection of cardiovascular
disease. The segmentation of the biventricular is a prerequisite for evaluating cardiac …
disease. The segmentation of the biventricular is a prerequisite for evaluating cardiac …
Development of deep learning framework for anatomical landmark detection and guided dissection line during laparoscopic cholecystectomy
P Smithmaitrie, M Khaonualsri, W Sae-Lim… - Heliyon, 2024 - cell.com
Background Bile duct injuries during laparoscopic cholecystectomy can arise from
misinterpretation of biliary anatomy, leading to dissection in improper areas. The integration …
misinterpretation of biliary anatomy, leading to dissection in improper areas. The integration …
Skin cancer classification based on a hybrid deep model and long short-term memory
S Mavaddati - Biomedical Signal Processing and Control, 2025 - Elsevier
Skin cancer classification is an important topic in dermatology and oncology because it
provides a framework for diagnosing and managing skin cancer, as well as for research and …
provides a framework for diagnosing and managing skin cancer, as well as for research and …
An intelligent neural network model to detect red blood cells for various blood structure classification in microscopic medical images
Biomedical image analysis plays a crucial role in enabling high-performing imaging and
various clinical applications. For the proper diagnosis of blood diseases related to red blood …
various clinical applications. For the proper diagnosis of blood diseases related to red blood …
Image-Based Classical Features and Machine Learning Analysis of Skin Cancer Instances
A Almutairi, RU Khan - Applied Sciences, 2023 - mdpi.com
Skin conditions influence people of all ages and genders and impose an enormous strain on
worldwide public health. For efficient management and medical treatment, skin disorders …
worldwide public health. For efficient management and medical treatment, skin disorders …
Understanding transfer learning for chest radiograph clinical report generation with modified transformer architectures
E Vendrow, E Schonfeld - Heliyon, 2023 - cell.com
The image captioning task is increasingly prevalent in artificial intelligence applications for
medicine. One important application is clinical report generation from chest radiographs …
medicine. One important application is clinical report generation from chest radiographs …
Enhancing Disease Classification with Deep Learning: a Two-Stage Optimization Approach for Monkeypox and Similar Skin Lesion Diseases
S Savaş - Journal of Imaging Informatics in Medicine, 2024 - Springer
Monkeypox (MPox) is an infectious disease caused by the monkeypox virus, presenting
challenges in accurate identification due to its resemblance to other diseases. This study …
challenges in accurate identification due to its resemblance to other diseases. This study …
A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection
ŞG Korkut, H Kocabaş, R Kurban - Karadeniz Fen Bilimleri Dergisi, 2024 - dergipark.org.tr
In this study, a comprehensive comparative analysis of Convolutional Neural Network (CNN)
architectures for binary image classification is presented with a particular focus on the …
architectures for binary image classification is presented with a particular focus on the …