paper-with-me

Papers Blood Detection

“Blood Detection” 태그가 달린 논문 6편 · 필터 해제

A Novel Unified Approach to Deepfake Detection

2026-01-06 · Lord Sen, Shyamapada Mukherjee arxiv

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 Detection

HemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Management

2024-03-24 · Albert J. Miao, Shan Lin, Jingpei Lu, Florian Richter 외

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 DetectionManagementSegmentation

Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs

2024-03-12 · Neel Kanwal, Farbod Khoraminia, Umay Kiraz, Andres Mosquera-Zamudio 외

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+7

Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images

2022-09-26 · 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) 2022 9 · Neel Kanwal; Saul Fuster; Farbod Khoraminia; Tahlita C.M. Zuiverloon; Chunming Rong; Kjersti Engan

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+4

A Dataset for Evaluating Blood Detection in Hyperspectral Images

2020-08-24 · Michał Romaszewski, Przemysław Głomb, Arkadiusz Sochan, Michał Cholewa

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 Detection

Gastric histopathology image segmentation using a hierarchical conditional random field

2020-03-03 · Changhao Sun, Chen Li, Jinghua Zhang, Muhammad Rahaman 외

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
1–6 / 6