[HTML][HTML] Surgical simulation: virtual reality to artificial intelligence
“See one, do one, teach one” is an adage no longer applicable to most modern academic
medical centers which have embraced instead the idea of “perfect practice makes perfect.” It …
medical centers which have embraced instead the idea of “perfect practice makes perfect.” It …
Sugarcane diseases identification and detection via machine learning
M Mostafizur Rahman Komol, M Sabid Hasan… - Computer Vision and …, 2023 - Springer
Sugarcane diseases are major concern for the global sugarcane market, as they can
significantly impact crop yield and quality. This can result in economic losses for farmers and …
significantly impact crop yield and quality. This can result in economic losses for farmers and …
Improving vertebral diagnosis in computed tomography scans: a clinically oriented attention-driven asymmetric convolution network for segmentation
B Wang, R Wang, Z Chen, Q Zhang, W Yuwen… - Intelligent …, 2024 - mednexus.org
Objective Vertebral segmentation in computed tomography (CT) images remains an
essential issue in medical image analysis, stemming from the variability in vertebral shapes …
essential issue in medical image analysis, stemming from the variability in vertebral shapes …
A New Methodology to Detect Plant Disease Using Reprojected Multispectral Images from RGB Colour Space
Plant disease detection is a pivotal step to prevent crop damage and maximise the crop
yield. Although recent deep learning-based techniques achieved significant progress in this …
yield. Although recent deep learning-based techniques achieved significant progress in this …
RGB to Multispectral Remap: A Cost-Effective Novel Approach to Recognize and Segment Plant Disease
Multispectral images represent radiant spectral energy captured at several light
wavelengths; hence, these images are able to convey meaningful information related to the …
wavelengths; hence, these images are able to convey meaningful information related to the …