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IEEE/ICACT20240405 Slide.04        [Big Slide]	Oral Presentation
	Introduction, Transfer Learning Approach: Deep transfer learning refines a pre-trained model for specific image tasks without starting from scratch, adjusting weights or using its layers for feature extraction. Development: A supervised deep learning model, trained on pre-labeled data, automatically categorizes image regions in colorectal cancer detection and classification. Addressing Limitations: Deep transfer learning alleviates healthcare professionals' burden by utilizing image feature extraction, reducing their workload significantly. Research Goals: It aims to showcase the efficacy of deep transfer learning in automating colorectal cancer detection and accurately characterizing the disease.

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