[HTML][HTML] A Comprehensive Review of AI Diagnosis Strategies for Age-Related Macular Degeneration (AMD)
The rapid advancement of computational infrastructure has led to unprecedented growth in
machine learning, deep learning, and computer vision, fundamentally transforming the …
machine learning, deep learning, and computer vision, fundamentally transforming the …
[HTML][HTML] Early detection of monkeypox: Analysis and optimization of pretrained deep learning models using the Sparrow Search Algorithm
The global spread of monkeypox across over 40 countries is a major health challenge. Its
symptoms resemble those of chickenpox and measles, complicating early diagnosis. When …
symptoms resemble those of chickenpox and measles, complicating early diagnosis. When …
Image segmentation for pest detection of crop leaves by improvement of regional convolutional neural network
X Wu, Y Liu, M Xing, C Yang, S Hong - Scientific Reports, 2024 - nature.com
Pest detection is important for crop cultivation. Crop leaf is the main place of pest invasion.
Current technologies to detect crop pests have constraints, such as low efficiency, storage …
Current technologies to detect crop pests have constraints, such as low efficiency, storage …
[HTML][HTML] Towards ovarian cancer diagnostics: A vision transformer-based computer-aided diagnosis framework with enhanced interpretability
A Alahmadi - Results in Engineering, 2024 - Elsevier
Ovarian cancer, a significant threat to women's health, demands innovative diagnostic
approaches. This paper introduces a groundbreaking Computer-Aided Diagnosis (CAD) …
approaches. This paper introduces a groundbreaking Computer-Aided Diagnosis (CAD) …
A novel metastatic tumor segmentation method with a new evaluation metric in clinic study
B Li, Q Sun, X Fang, Y Yang, X Li - Frontiers in Medicine, 2024 - frontiersin.org
Background Brain metastases are the most common brain malignancies. Automatic
detection and segmentation of brain metastases provide significant assistance for …
detection and segmentation of brain metastases provide significant assistance for …
Brain Tumor Detection Using Modified VGG-19 Model
SS Ulli, H Akkineni, US Vuyyuru… - 2024 International …, 2024 - ieeexplore.ieee.org
Brain tumors are life-threatening diseases, and their early detection is crucial but difficult
through manual analysis. They can be identified by magnetic resonance imaging (MRI). This …
through manual analysis. They can be identified by magnetic resonance imaging (MRI). This …
Vital Characteristics Cellular Neural Network (VCeNN) for Melanoma Lesion Segmentation: A Biologically Inspired Deep Learning Approach
T Yang, Q Huang, F Cai, J Li, L Jiang, Y Xia - Journal of Imaging …, 2024 - Springer
Cutaneous melanoma is a highly lethal form of cancer. Developing a medical image
segmentation model capable of accurately delineating melanoma lesions with high …
segmentation model capable of accurately delineating melanoma lesions with high …
A CONTENT BASED MEDICAL IMAGE RETRIEVAL WITH HYBRID FEATURE EXTRACTION AND DEEP LEARNING MODEL FOR BRAIN TUMOR CLASSIFICATION
M Arthi, VP Eswaramurthy - Bulletin of Pure and Applied Sciences …, 2024 - bpasjournals.com
When detected early, brain tumors (BT) are also frequently treatable conditions. The
accuracy with which the abnormality in the query image is recognized and determines the …
accuracy with which the abnormality in the query image is recognized and determines the …