14 нояб. 2017 г. · In this chapter, we discuss state-of-the-art deep learning architecture and its optimization when used for medical image segmentation and classification.

In this chapter, we discussed state of the art deep learning architecture and its optimization used for medical image segmentation and classification. In the ...

22 апр. 2017 г. · In this chapter, we discussed state of the art deep learning architecture and its optimization used for medical image segmentation and classification.

This paper provides a unique computer vision/machine learning perspective taken on the advances of deep learning in medical imaging

In this chapter, we discuss state-of-the-art deep learning architecture and its optimization when used for medical image segmentation and classification.

In this chapter, we discuss state-of-the-art deep learning architecture and its optimization when used for medical image segmentation and classification. The ...

22 окт. 2024 г. · This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, ...

The chapter closes with a discussion of the challenges of deep learning methods with regard to medical imaging and open research issue. Keywords: Deep Learning

20 окт. 2024 г. · Finally, we identify key challenges such as limited data, diverse modalities, noise, and clinical applicability, and propose future research in ...

This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving ...