Muhammad Rashid
Department of Computer Science, University of Turin, Italy
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MATLAB
Spoken Languages:
English
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Professional Interests:
Statistics and Machine Learning Applications
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Inviato
Deep-CNN-and-geometric-features-based-gastrointestinal-tract
Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endosco...
oltre 3 anni fa | 13 download |
Inviato
Classification-of-Gastrointestinal-Diseases-of-Stomach
Classification of Gastrointestinal Diseases of Stomach from WCE using the improved Saliency-based method and Color Features
oltre 3 anni fa | 1 download |
Inviato
Breast Cancer Classification for Histopathological Images
An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set.
oltre 3 anni fa | 15 download |
Inviato
Skin Lesion Detection and Recognition in Matlab
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network feature...
oltre 3 anni fa | 4 download |
Inviato
Object-Detection-and-Classification-A-Joint-Selection-and-Fu
Object Detection and Classification: A Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point F...
oltre 3 anni fa | 1 download |
Inviato
A-sustainable-deep-learning-framework-for-object-recognition
Object Detection and Classifications paper codes Coded and Published by Muhammad Rashid Rashid047571@gmail.com
oltre 3 anni fa | 1 download |
Inviato
Deep-CNN-and-geometric-features-based-gastrointestinal-tract
Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endosco...
oltre 3 anni fa | 1 download |
Can anybody provide a "Deep Fake" network in matlab?
you can give it a try by using following code i found this code very helpful for faceswap and hence you can create video using ...
quasi 4 anni fa | 0
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object-detection-classification
Object Detection and Classifications paper codes
quasi 7 anni fa | 1 download |
