Four major algorithms used for signal detection. by Ruibo Li (2063167)

Four major algorithms used for signal detection. by Xiaoling Zhong (181270)

Performance of the algorithms in validation and in test steps. by Mara Giavina-Bianchi (11334102)

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General view of clinical and dermoscopic algorithms development. by Mara Giavina-Bianchi (11334102)

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Algorithm assessment of temporal drought class using TPM. by Muhammad Asif Khan (7367468)

Data_Sheet_1_Development and pilot evaluation of an evidence-based algorithm for MASLD (formerly NAFLD) management in primary care in Europe.docx by Marilena Anastasaki (4453894)

Intersection-over-union scores (top left), as well as plot-level inferences, between the primary annotator and a 2nd annotator. by Ben G. Weinstein (3200145)

Receiver Operating Characteristic Curve (ROC) for clinical and dermoscopic images algorithms. by Mara Giavina-Bianchi (11334102)

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Data_Sheet_1_Development and Validation of a Deep Learning Algorithm to Automatic Detection of Pituitary Microadenoma From MRI.docx by Qingling Li (1444981)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”

DataSheet_1_Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study.docx by XiaoHuan Liu (14181626)

Normalised confusion matrix of predictions of unfamiliar insects present in the test dataset, based on the best YOLOv5 model. by Kim Bjerge (14797213)

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Load data or power demand. by M. Nasrallah (19066121)

Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”

Data_Sheet_1_Validation of a deep neural network-based algorithm supporting clinical management of adnexal mass.docx by Gerard P. Reilly (14490704)

Schematic representation of univariate ensemble-based feature selection. by Nanavath Kiran Singh Nayak (22184565)

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CAD system pathways developed to provide outputs for clinical and dermoscopy images to primary care physicians. by Mara Giavina-Bianchi (11334102)

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Patient flow for clinical images taken by primary care physicians and possible outcomes and suggested management. by Mara Giavina-Bianchi (11334102)

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Data_Sheet_1_A prospective multicenter clinical research study validating the effectiveness and safety of a chest X-ray-based pulmonary tuberculosis screening software JF CXR-1 bui... by Yang Yang (45629)

Image_4_Development and Validation of a Deep Learning Algorithm to Automatic Detection of Pituitary Microadenoma From MRI.TIF by Qingling Li (1444981)