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Agricola

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Agricola

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

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Testicular germ cell tumors: challenges in tumor diagnosis and pathological staging.

• Authors : Amin, Ali; Cheng, Liang

• Source: Diagnostic Histopathology; May2024, Vol. 30 Issue 5, p291-296, 6p

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Calcium feature-based brain tumor diagnosis platform using random forest model.

• Authors : Qiu, Ziyi; Hu, Xiaoping; Xu, Ting

Subjects: CANCER diagnosis; RANDOM forest algorithms; BRAIN tumors

• Source: Biocybernetics & Biomedical Engineering; Apr2024, Vol. 44 Issue 2, p286-294, 9p

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Study Findings on Brain Cancer Are Outlined in Reports from First Hospital of Jiaxing [Optimizing the topology of convolutional neural network (CNN) and artificial neural network (ANN) for brain tumor diagnosis (BTD) through MRIs]

• Source: Obesity, Fitness & Wellness Week. August 31, 2024, 5039

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Researcher from National and Kapodistrian University of Athens Reports Recent Findings in Clinical Medicine (Enhancing Ovarian Tumor Diagnosis: Performance of Convolutional Neural Networks in Classifying Ovarian Masses Using Ultrasound Images)

• Source: Women's Health Weekly. August 1, 2024, 5024

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Programmable intelligent DNA nanoreactors (iDNRs) for in vivo tumor diagnosis and therapy.

• Authors : Shen Y; Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, CHINA.; Cai R

• Source: ChemMedChem [ChemMedChem] 2024 Oct 08, pp. e202400531. Date of Electronic Publication: 2024 Oct 08.Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101259013 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1860-7187

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Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks.

• Authors : Huang C; The School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, 450001, China.; Shao J

• Source: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2024 Sep 18, pp. e2409150. Date of Electronic Publication: 2024 Sep 18.Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844

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Enhancing Brain Tumor Diagnosis with L-Net: A Novel Deep Learning Approach for MRI Image Segmentation and Classification.

• Authors : Dénes-Fazakas L; Physiological Controls Research Center, University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary.; Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary.

• Source: Biomedicines [Biomedicines] 2024 Oct 18; Vol. 12 (10). Date of Electronic Publication: 2024 Oct 18.Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101691304 Publication Model: Electronic Cited Medium: Print ISSN: 2227-9059

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