Resources
14 results for "computer vision"
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Chest Computed Tomography for patients with sepsis in the Emergency Department
Sepsis is a systematic inflammatory response syndrome that can impact all vital organs. Lung is the most commonly involved organ that sepsis can cause lung injury. Lung injury can have a variety clinical presentations and can be captured by chest im…
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A Brazilian Multilabel Ophthalmological Dataset (BRSET)
The Brazilian Multilabel Ophthalmological Dataset (BRSET) is a multi-labeled ophthalmological dataset designed to improve scientific community development and validate machine learning models. In ophthalmology, ancillary exams support medical decisi…
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mBRSET, a Mobile Brazilian Retinal Dataset
The Mobile Brazilian Retinal Dataset (mBRSET) presents a pioneering collection of retinal images captured via portable cameras, encompassing a diverse range of ethnic backgrounds from Itabuna, Bahia, Brazil. Comprising 5164 images from 1291 patients…
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Chest ImaGenome Dataset
In recent years, with the release of multiple large datasets, automatic interpretation of chest X-ray (CXR) images with deep learning models have become feasible for specific abnormalities or for generating preliminary reports. However, despite repo…
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Kinematic dataset of actors expressing emotions
We produced a kinematic dataset to assist in recognizing cues from all parts of the body that indicate human emotions (happy, sad, angry, fearful, , disgust, surprise) and neutral. The present dataset was created using a portable wireless motion cap…
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Chest X-ray Dataset with Lung Segmentation
Chest X-ray(CXR) images are prominent among medical images and are commonly administered in emergency diagnosis and treatment corresponding to cardiac and respiratory diseases. Though there are robust solutions available for medical diagnosis, valid…
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Embedding-Based Representations for BRSET and mBRSET
BRSET and mBRSET are publicly available Brazilian ophthalmological datasets composed of curated retinal fundus photographs with associated clinical and demographic information. While these resources enable diverse research applications, training dee…
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CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
Recent progress in Large Vision-Language Models (LVLMs) has enabled promising applications in medical tasks such as report generation and visual question answering. However, existing benchmarks focus mainly on the final diagnostic answer, offering l…
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Endoscapes2023, A Critical View of Safety and Surgical Scene Segmentation Dataset for Laparoscopic Cholecystectomy
Minimally invasive image-guided surgery heavily relies on vision. Deep learning models for surgical video analysis can support surgeons in visual tasks such as assessing the critical view of safety (CVS) in laparoscopic cholecystectomy, potentially …
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MIMIC-CXR Database
The MIMIC Chest X-ray (MIMIC-CXR) Database v2.0.0 is a large publicly available dataset of chest radiographs in DICOM format with free-text radiology reports. The dataset contains 377,110 images corresponding to 227,835 radiographic studies performe…