| 청구기호 |
R859.7.A78 |
| 형태사항 |
1 online resource (336 p.).
|
| 언어 |
English |
| 내용 |
Introduction. An introduction to computational intelligence and image processing -- Intelligent behavioral trajectory pattern recognition for longitudinal trials -- COVID-19 detection. Segmentation of COVID-19 infected lung area in CT scans with deep algorithms -- Active learning for medical image classification -- Medical imaging. Medical image segmentation: how raters' experience may affect the quality of reference information -- Machine learning approach for quantification of neuropathy using confocal microscopy images of the human cornea -- Peripheral blood smear analysis using deep learning: current challenges and future directions -- Deep learning based 3d brain tumor segmentation with multispectral MRI -- Deep learning techniques for ultrasound image enhancement and segmentation -- A fast inference framework for medical image semantic segmentation tasks using deep learning framework -- A new feature extraction approach for segmentation of intravascular ultrasound images -- Deep multi-task learning approach for bioelectrical signal analysis - 3D tomosynthesis to detect breast cancer -- Emerging topics. Using deep learning for dermatologist-level detection of ugly-duckling and suspicious pigmented skin lesions from wide-field images -- Deep learning in medical imaging and its challenges.
|
| 주제 |
Computational intelligence.
Image processing.
Diagnostic imaging.
|
| ISBN |
9789811257452, 9811257450, 9789811257445, 9811257442 |
| QR CODE |
|
