May 14, 2023 · In this work, we propose an offline augmentation procedure focusing rotation operations, to address the impact of lost/clipped mitoses induced by online ...
The classification accuracies of the developed models were precision, 0.88; recall, 0.87; F1 score, 0.88; and overall accuracy, 0.89. The inference speed of the ...
Evaluating Rotation Invariant Strategies for Mitosis Detection Through YOLO Algorithms ... Authors: Dibet Garcia Gonzalez; João Carias; Yusbel Chávez Castilla ...
YOLOv4 and YOLOv5 were compared, using an augmented test dataset with an exhaustive set of rotation angles, to investigate their performance. YOLOv5 with a ...
Evaluating rotation invariant strategies for mitosis detection through YOLO ...
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May 14, 2023 · In this work, we propose an offline augmentation procedure focusing rotation operations, to address the impact of lost/clipped mitoses induced by online ...
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Evaluating Rotation Invariant Strategies for Mitosis Detection Through YOLO Algorithms · Dibet Garcia GonzalezJoão Carias +8 authors. António Cunha. Computer ...
This article presents the use of active learning strategies to train an object detection model for the mitotic annotation use case, developed in the iPATH ...
Aug 20, 2024 · Evaluating Rotation Invariant Strategies for Mitosis Detection Through YOLO Algorithms. MobiHealth 2022: 24-33. [+][–]. 2010 – 2019. FAQ. see ...
May 13, 2023 · Evaluating Rotation Invariant Strategies for Mitosis Detection Through YOLO Algorithms. Dibet Garcia Gonzalez, João Carias, Yusbel Chávez ...
... algorithms for metaplasia detection in upper gastrointestinal endoscopy. Evaluating Rotation Invariant Strategies for Mitosis Detection through YOLO Algorithms.