Blood Detection
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Benchmarks
EGC-FPHFS
Most implemented
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images
A Dataset for Evaluating Blood Detection in Hyperspectral Images
Papers
A Novel Unified Approach to Deepfake Detection
The advancements in the field of AI is increasingly giving rise to various threats. One of the most prominent of them is the synthesis and misuse of Deepfakes. To sustain trust in this digital age, detection and tagging …
DeepFake DetectionBlood DetectionHemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Management
Hemorrhaging occurs in surgeries of all types, forcing surgeons to quickly adapt to the visual interference that results from blood rapidly filling the surgical field. Introducing automation into the crucial surgical tas…
Blood DetectionManagementSegmentationEquipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
Histopathology is a gold standard for cancer diagnosis under a microscopic examination. However, histological tissue processing procedures result in artifacts, which are ultimately transferred to the digitized version of…
Airbubbles DetectionAnomaly DetectionArtifact DetectionBlood Detection+7Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images
Histological tissue examination has been a longstanding practice for cancer diagnosis where pathologists identify the presence of tumors on glass slides. Slides acquired from laboratory routine may contain unintentional …
Artifact DetectionBinary ClassificationBlood DetectionColor Normalization+4A Dataset for Evaluating Blood Detection in Hyperspectral Images
The sensitivity of imaging spectroscopy to haemoglobin derivatives makes it a promising tool for detecting blood. However, due to complexity and high dimensionality of hyperspectral images, the development of hyperspectr…
Blood DetectionGastric histopathology image segmentation using a hierarchical conditional random field
For the Convolutional Neural Networks (CNNs) applied in the intelligent diagnosis of gastric cancer, existing methods mostly focus on individual characteristics or network frameworks without a policy to depict the integr…
Blood DetectionImage SegmentationSegmentationSemantic Segmentation+1