Convolutional neural Networks - Globe Thesis

Keyword [Convolutional neural Networks] Result: 121 - 140 \| Page: 7 of 10
121.	Research On Swept Source OCT And Human Eye OCT Image Based Axial Length Measurement Method And Calibrator
122.	Study Of Deep Learning And Applications In Medical Image Analysis
123.	Bone Edge Detection And Bone Suppression Of Chest Radiographs Based On Convolutional Neural Networks
124.	Study Of Ophthalmic Image Classfication,Segmentation And Regression Based On Convolutional Neural Networks
125.	Study Some Key Issues On Gastric Image Understanding Based On Convolutional Neural Networks
126.	Representation Learning For Low-quality Medical Image Segmentation
127.	Research On Medical Image Classification Using Deep Features In CT And X-Rays Images
128.	Application Of Low-dose CT And Deep Convolutional Neural Networks For Chronic Obstructive Pulmonary Disease Classification And Bronchoscopy
129.	Design And Implementation Of A Lightweight Model Based On Convolutional Neural Networks To Segment Optic Cup And Optic Disc
130.	Evaluation Of Efficiency And Accuracy Of Lung Nodule Detection Models Based On Deep Convolutional Networks
131.	Construction Of Thyroid Ultrasound Image-based Convolutional Neural Network And Its Application In TI-RADS 4 Nodules
132.	3D Image Segmentation For Hepatobiliary Based On Multi-scale Attention Mechanism
133.	Deep Learning Diagnosis Method Of Muscle Atrophy Based On Ultrasound Multimodal Video
134.	Weakly-supervised Convolutional Neural Networks For Kidney Segmentation In Abdominal CTA Images
135.	Research On Key Algorithms Of Removing Ballistocardiogram Artifact From EEG
136.	Research On Methods Of Epileptic State Identification Based On Deep Learning
137.	Research Of Punctate White Matter Lesion Segmentation In Neonates Based On Deep Convolutional Neural Networks
138.	Study On Wrist Movement Recognition Algorithm For Stroke Rehabilitation Training
139.	Research On Automatic Classification And Extended Prediction Of Cerebral Hemorrhage Based On Deep Learning
140.	Comparison Of Different Convolutional Neural Networks In Recognition Of Stable And Progressive Mild Cognitive Impairment
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