Search Results

Attentional decoder networks for chest X-ray image recognition on high-resolution features.

• Authors : Kang H; Department of Artificial Intelligence, Ajou University, Suwon, Republic of Korea.; Kim N

Subjects: Neural Networks, Computer* ; Algorithms*; Humans

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Jun; Vol. 251, pp. 108198. Date of Electronic Publication: 2024 Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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An efficient Fusion-Purification Network for Cervical pap-smear image classification.

• Authors : Yang T; College of Computer and Information, Hohai University, Nanjing, 211100, PR China. Electronic address: .; Hu H

Subjects: Papanicolaou Test* ; Cervix Uteri*/Cervix Uteri*/Cervix Uteri*/diagnostic imaging ; Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/Uterine Cervical Neoplasms*/diagnostic imaging

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Jun; Vol. 251, pp. 108199. Date of Electronic Publication: 2024 Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy.

• Authors : Wang D; School of Computers, Guangdong University of Technology, Guangzhou 510006, China.; Han C

Subjects: Algorithms* ; Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/diagnostic imaging; Humans

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Jun; Vol. 249, pp. 108141. Date of Electronic Publication: 2024 Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images.

• Authors : Raufeisen J; Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074 Aachen, Germany; Institute of Medical Informatics, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074 Aachen, Germany

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 May 11; Vol. 252, pp. 108215. Date of Electronic Publication: 2024Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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A comparison between centralized and asynchronous federated learning approaches for survival outcome prediction using clinical and PET data from non-small cell lung cancer patients.

• Authors : Vo VT; Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, 61186, South Korea.; Shin TH

Subjects: Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/diagnostic imaging ; Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/diagnostic imaging; Humans

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 May; Vol. 248, pp. 108104. Date of Electronic Publication: 2024 Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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Medical long-tailed learning for imbalanced data: Bibliometric analysis.

• Authors : Wu Z; School of Information Engineering, Hunan University of Science and Engineering, Yongzhou 425199, China. Electronic address: .; Guo K

Subjects: Bibliometrics* ; Biomedical Research*; Image Processing, Computer-Assisted

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Apr; Vol. 247, pp. 108106. Date of Electronic Publication: 2024 Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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Automated anxiety detection using probabilistic binary pattern with ECG signals.

• Authors : Baygin M; Department of Computer Engineering, Faculty of Engineering and Architecture, Erzurum Technical University, Erzurum, Turkey.; Barua PD

Subjects: Electrocardiography* ; Wavelet Analysis*; Humans

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Apr; Vol. 247, pp. 108076. Date of Electronic Publication: 2024 Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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ChatGPT in healthcare: A taxonomy and systematic review.

• Authors : Li J; Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Girardetstraße 2, 45131 Essen, Germany.; Dada A

Subjects: Artificial Intelligence* ; Physicians*; Humans

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Mar; Vol. 245, pp. 108013. Date of Electronic Publication: 2024 Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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Deep learning-based dynamic ventilatory threshold estimation from electrocardiograms.

• Authors : Cho HM; Biomedical Research Institute, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, 02792, Seoul, Republic of Korea; Department of Artificial Intelligence, Korea University, 145 Anam-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea. Electronic address: .

Subjects: Deep Learning*; Humans ; Electrocardiography/Electrocardiography/Electrocardiography/methods

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Feb; Vol. 244, pp. 107973. Date of Electronic Publication: 2023 Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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Self-supervised tumor segmentation and prognosis prediction in osteosarcoma using multiparametric MRI and clinical characteristics.

• Authors : Zhou Z; School of Computer Science and Engineering, Central South University, Changsha 410083, China.; Xie P

Subjects: Multiparametric Magnetic Resonance Imaging* ; Osteosarcoma*/Osteosarcoma*/Osteosarcoma*/diagnostic imaging ; Bone Neoplasms*/Bone Neoplasms*/Bone Neoplasms*/diagnostic imaging

• Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Feb; Vol. 244, pp. 107974. Date of Electronic Publication: 2023 Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet

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