Author: Suganyadevi, S.; Seethalakshmi, V.; Balasamy, K.
Title: A review on deep learning in medical image analysis Cord-id: amax85ec Document date: 2021_9_4
ID: amax85ec
Snippet: Ongoing improvements in AI, particularly concerning deep learning techniques, are assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the quickest developing field in artificial intelligence and is effectively utilized lately in numerous areas, including medication. A brief outline is given on studies carried out on the region of application: neuro, brain, retinal, pneumonic, computerized pathology, bosom, heart, breast, bone, stomach, and musculoskeletal.
Document: Ongoing improvements in AI, particularly concerning deep learning techniques, are assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the quickest developing field in artificial intelligence and is effectively utilized lately in numerous areas, including medication. A brief outline is given on studies carried out on the region of application: neuro, brain, retinal, pneumonic, computerized pathology, bosom, heart, breast, bone, stomach, and musculoskeletal. For information exploration, knowledge deployment, and knowledge-based prediction, deep learning networks can be successfully applied to big data. In the field of medical image processing methods and analysis, fundamental information and state-of-the-art approaches with deep learning are presented in this paper. The primary goals of this paper are to present research on medical image processing as well as to define and implement the key guidelines that are identified and addressed.
Search related documents:
Co phrase search for related documents- logistic regression and long short time: 1, 2, 3
- logistic regression and loss function: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
- logistic regression and low dimensional: 1
- logistic regression and lstm model: 1, 2
- logistic regression and machine learn: 1
- logistic regression and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74
- logistic regression and machine learning algorithm: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
- logistic regression and machine learning library: 1
- logistic regression and machine learning model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48
- logistic regression and machine learning problem: 1
- logistic regression and magnetic resonance: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41
- long short and loss function: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- long short and low dimensional: 1, 2
- loss function and low dimensional: 1
- loss function and lstm model: 1, 2, 3, 4
- loss function and machine learning: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
- loss function and machine learning model: 1, 2, 3
- loss function and machine learning problem: 1
- loss function and magnetic resonance: 1, 2, 3, 4, 5, 6
Co phrase search for related documents, hyperlinks ordered by date