Deep Learning in Medical Image Analysis

Price: $107.30 – $89.89
(as of Dec 28,2024 03:19:48 UTC – Details)

Publisher ‏ : ‎ Mdpi AG (August 26, 2021)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 458 pages
ISBN-10 ‏ : ‎ 3036514694
ISBN-13 ‏ : ‎ 978-3036514697
Item Weight ‏ : ‎ 2.6 pounds
Dimensions ‏ : ‎ 6.69 x 1.38 x 9.61 inches

Deep learning has revolutionized the field of medical image analysis by allowing for more accurate and efficient interpretation of complex medical images. With the ability to learn from large datasets, deep learning algorithms can identify patterns and abnormalities in medical images that may be missed by the human eye.

One of the key applications of deep learning in medical image analysis is in the detection and diagnosis of diseases such as cancer, cardiovascular disease, and neurological disorders. By training deep learning models on vast amounts of medical imaging data, researchers and healthcare professionals can develop algorithms that can accurately identify and classify different types of abnormalities in medical images.

In addition to disease detection and diagnosis, deep learning has also been used in medical image segmentation, which involves delineating and outlining different structures or organs within an image. This can be particularly useful in surgical planning, radiation therapy, and monitoring disease progression.

Overall, deep learning has the potential to significantly improve the accuracy, efficiency, and speed of medical image analysis, leading to better patient outcomes and more personalized treatment plans. As the field continues to evolve, we can expect to see even more advancements in the application of deep learning in medical imaging, ultimately leading to better healthcare for all.
#Deep #Learning #Medical #Image #Analysis