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Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai
Abstract Large Vision-Language Models (LVLMs) are capable of handling diverse data
types such as imaging, text, and physiological signals, and can be applied in various fields …
types such as imaging, text, and physiological signals, and can be applied in various fields …
A bi-directional deep learning architecture for lung nodule semantic segmentation
Lung nodules are abnormal growths and lesions may exist. Both lungs may have nodules.
Most lung nodules are harmless (not cancerous/malignant). Pulmonary nodules are rare in …
Most lung nodules are harmless (not cancerous/malignant). Pulmonary nodules are rare in …
Knee osteoarthritis grading using DenseNet and radiographic images
Osteoarthritis (OA) is the constant dilapidation of the bone joint. Knee OA is most typical,
which affects mobility. Joint pain, swelling, stiffness, and strenuous walking are major …
which affects mobility. Joint pain, swelling, stiffness, and strenuous walking are major …
DNN-based knee OA severity prediction system: pathologically robust feature engineering approach
Osteoarthritis (OA) is a common chronic health condition of bone joints. It gradually leads
severe pain and disability. Over the last 2 decades, the effect of OA is noticed more in the …
severe pain and disability. Over the last 2 decades, the effect of OA is noticed more in the …
AI solutions to public health issues
Statistics and ML set the base for AI; presently, radical advances are ongoing in deep neural
networks. It has established great interest in science, medicine, and public health …
networks. It has established great interest in science, medicine, and public health …
[PDF][PDF] Innovative inter quartile range-based outlier detection and removal technique for teaching staff performance feedback analysis
The teaching-learning process plays an important role in education. To improve this process
valuable and timely feedback is taken from the students. That feedback can be used for two …
valuable and timely feedback is taken from the students. That feedback can be used for two …
Ensemble deep convolutional neural network to identify fractured limbs using CT scans
Accurate classification between fractured and intact bones in Computed Tomography (CT)
scan serves as a precursor to further treatment planning. CNN is no exception to handle this …
scan serves as a precursor to further treatment planning. CNN is no exception to handle this …
VGG-16, VGG-16 With Random Forest, Resnet50 with SVM, EfficientNetB0 with XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning …
Millions of cases of bone fractures are reported every year, and accuracy in classification is
crucial to help with proper management and treatment. The recently developed techniques …
crucial to help with proper management and treatment. The recently developed techniques …
Automated Fracture Detection from CT Scans
Computed Tomography (CT) scans play a crucial role in modern medical imaging for
detecting bone fractures. However, identifying the location and position of broken bones can …
detecting bone fractures. However, identifying the location and position of broken bones can …
Applied AI Use Cases—From Number to Image Data
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