Deep Learning for Medical Image-Based Cancer Diagnosis
Nanjing Normal University · University of Leicester
Abstract
(1) Background: The application of deep learning technology to realize cancer diagnosis based on medical images is one of the research hotspots in the field of artificial intelligence and computer vision. Due to the rapid development of deep learning methods, cancer diagnosis requires very high accuracy and timeliness as well as the inherent particularity and complexity of medical imaging. A comprehensive review of relevant studies is necessary to help readers better understand the current research status and ideas. (2) Methods: Five radiological images, including X-ray, ultrasound (US), computed tomography (CT), magnetic resonance imaging (MRI), positron emission computed tomography (PET), and…
Citation impact
- FWCI
- 67.20
- Percentile
- 100%
- References
- 494
Authors
4Topics & keywords
- Deep learning
- Artificial intelligence
- Computer science
- Transfer of learning
- Overfitting
- Segmentation
- Medical imaging
- Machine learning
Funding
- HFHope FoundationAwards: RM60G0680, RP202G0230, MC_PC_17171
- BHBritish Heart FoundationAwards: RP202G0230, RM60G0680, MC_PC_17171, AA/18/3/34220
- FFFight for Sight UKAward: 24NN201
- GOGovernment of Jiangsu Province
- MRMedical Research CouncilAwards: MC_PC_17171, RM60G0680, RP202G0230
- BABiotechnology and Biological Sciences Research CouncilAwards: RM60G0680, P202RE969, MC_PC_17171, RP202G0230, P202PF11, P202RE237, RM32G0178B8, AA/18/3/34220, OP202006, 24NN201, 2023SJZD125, RP202G0289, P202ED10
- MPMajor Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province