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Practical deep learning : a Python-based introduction.

• Authors : Kneusel, Ronald T., author

Subjects: Machine learning; Python (Computer program language)

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[Accelerated musculoskeletal magnetic resonance imaging with deep learning-based image reconstruction at 0.55 T-3 T].

• Authors : Vosshenrich J; Department of Radiology, Grossman School of Medicine, New York University, 660 First Avenue, 10016, New York, NY, USA. .; Klinik für Radiologie und Nuklearmedizin, Universitätsspital Basel, Petersgraben 4, 4031, Basel, Schweiz. .

Subjects: Deep Learning* ; Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Musculoskeletal Diseases*/Musculoskeletal Diseases*/Musculoskeletal Diseases*/diagnostic imaging

• Source: Radiologie (Heidelberg, Germany) [Radiologie (Heidelb)] 2024 Oct; Vol. 64 (10), pp. 758-765. Date of Electronic Publication: 2024 Jun 12.Publisher: Springer Medizin Country of Publication: Germany NLM ID: 9918384887306676 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Quality Control in the Corneal Bank with Artificial Intelligence: Comparison of a New Deep Learning-based Approach with Conventional Endothelial Cell Counting by the "Rhine-Tec Endothelial Analysis System".

• Authors : Dreesbach M; Klinik für Augenheilkunde, Universitätsklinikum Freiburg, Deutschland.; Böhringer D

Subjects: Eye Banks*/Eye Banks*/Eye Banks*/methods ; Deep Learning* ; Endothelium, Corneal*/Endothelium, Corneal*/Endothelium, Corneal*/cytology

• Source: Klinische Monatsblatter fur Augenheilkunde [Klin Monbl Augenheilkd] 2024 Jun; Vol. 241 (6), pp. 734-740. Date of Electronic Publication: 2024 Apr 04.Publisher: Thieme Country of Publication: Germany NLM ID: 0014133 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1439-3999

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Applied Science & Technology Full Text (H.W. Wilson)

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Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study.

• Authors : Zhu Y; Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China.; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Subjects: Deep Learning* ; Feasibility Studies* ; Lymphadenopathy*/Lymphadenopathy*/Lymphadenopathy*/diagnostic imaging

• Source: Ultraschall in der Medizin (Stuttgart, Germany : 1980) [Ultraschall Med] 2024 Jun; Vol. 45 (3), pp. 305-315. Date of Electronic Publication: 2023 Dec 05.Publisher: G. Thieme Verlag Country of Publication: Germany NLM ID: 8303585 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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A deep learning approach for ovarian cancer detection and classification based on fuzzy deep learning.

• Authors : El-Latif EIA; Faculty of Science, Benha University, Benha, Egypt. .; El-Dosuky M

Subjects: Ovarian Neoplasms*/Ovarian Neoplasms*/Ovarian Neoplasms*/diagnosis ; Ovarian Neoplasms*/Ovarian Neoplasms*/Ovarian Neoplasms*/classification ; Ovarian Neoplasms*/Ovarian Neoplasms*/Ovarian Neoplasms*/pathology

• Source: Scientific reports [Sci Rep] 2024 Nov 02; Vol. 14 (1), pp. 26463. Date of Electronic Publication: 2024 Nov 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Deep learning for quantifying spatial patterning and formation process of early differentiated human-induced pluripotent stem cells with micropattern images.

• Authors : Chu SL; Department of Information and Computer Engineering, Chung-Yuan Christian University, Chung-Li, Taoyuan, Taiwan.; Abe K

Subjects: Induced Pluripotent Stem Cells*/Induced Pluripotent Stem Cells*/Induced Pluripotent Stem Cells*/cytology ; Cell Differentiation* ; Deep Learning*

• Source: Journal of microscopy [J Microsc] 2024 Oct; Vol. 296 (1), pp. 79-93. Date of Electronic Publication: 2024 Jul 12.Publisher: Published for the Royal Microscopical Society by Blackwell Scientific Publications Country of Publication: England NLM ID: 0204522 Publication Model:

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Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection.

• Authors : Hartman H; Doctoral Program, Faculty of Dentistry, Universitas Padjadjaran, Bandung, Indonesia.; Department of Pediatric Dentistry, Faculty of Dentistry, Universitas Jenderal Achmad Yani, Cimahi, Indonesia.

Subjects: Deep Learning* ; Artificial Intelligence* ; Pediatric Dentistry*

• Source: International journal of paediatric dentistry [Int J Paediatr Dent] 2024 Sep; Vol. 34 (5), pp. 639-652. Date of Electronic Publication: 2024 Jan 31.Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9107511 Publication Model: Print-Electronic Cited Medium: Internet

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Prediction of esophageal fistula in radiotherapy/chemoradiotherapy for patients with advanced esophageal cancer by a clinical-deep learning radiomics model : Prediction of esophageal fistula in radiotherapy/chemoradiotherapy patients.

• Authors : Zhang Y; School of Biomedical Engineering, Anhui Medical University, Hefei, 230032, China.; Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, P.R. China.

Subjects: Esophageal Neoplasms*/Esophageal Neoplasms*/Esophageal Neoplasms*/diagnostic imaging ; Esophageal Neoplasms*/Esophageal Neoplasms*/Esophageal Neoplasms*/therapy ; Esophageal Neoplasms*/Esophageal Neoplasms*/Esophageal Neoplasms*/radiotherapy

• Source: BMC medical imaging [BMC Med Imaging] 2024 Nov 18; Vol. 24 (1), pp. 313. Date of Electronic Publication: 2024 Nov 18.Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342

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Prior information guided deep-learning model for tumor bed segmentation in breast cancer radiotherapy.

• Authors : Huang P; Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.; Yan H

Subjects: Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/radiotherapy ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/surgery

• Source: BMC medical imaging [BMC Med Imaging] 2024 Nov 18; Vol. 24 (1), pp. 312. Date of Electronic Publication: 2024 Nov 18.Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342

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