Medical Diagnosis
154 papers with code • 2 benchmarks • 15 datasets
Medical Diagnosis is the process of identifying the disease a patient is affected by, based on the assessment of specific risk factors, signs, symptoms and results of exams.
Source: A probabilistic network for the diagnosis of acute cardiopulmonary diseases
Benchmarks
These leaderboards are used to track progress in Medical Diagnosis
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Datasets
PadChest
IntrA
BCI
DDXPlus
LIMUC
Clinical Admission Notes from MIMIC-III
FracAtlas
BreastRates4
BreastClassifications4
Subtasks
Latest papers
Generating Progressive Images from Pathological Transitions via Diffusion Model
rowerliu/adbd
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Deep learning is widely applied in computer-aided pathological diagnosis, which alleviates the pathologist workload and provide timely clinical analysis.
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation
cuttle-fish-my/gm-guided-dg
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Cross-modal MRI segmentation is of great value for computer-aided medical diagnosis, enabling flexible data acquisition and model generalization.
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection
zhyjsiat/a-two-stage-cyclegan-ve-brats2020
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However, current supervised learning methods require extensively annotated images and the state-of-the-art generative models used in unsupervised methods often have limitations in covering the whole data distribution.
Dynamic Multimodal Information Bottleneck for Multimodality Classification
ayanglab/dmib
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Specifically, our information bottleneck module serves to filter out the task-irrelevant information and noises in the fused feature, and we further introduce a sufficiency loss to prevent dropping of task-relevant information, thus explicitly preserving the sufficiency of prediction information in the distilled feature.
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization
vaibhav-khamankar/fusestyle
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Style transfer-based data augmentation is an emerging technique that can be used to improve the generalizability of machine learning models for histopathological images.
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches
A suite of performance metrics is employed to assess the efficacy of these methods.
$k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction
lpzhang/ktclair
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Cardiac magnetic resonance imaging (CMR) has been widely used in clinical practice for the medical diagnosis of cardiac diseases.
Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification
s21sharan/cnn_dr_detection
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Our contribution is an interpretable model with similar accuracy to more complex models.
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis
Driven by the large foundation models, the development of artificial intelligence has witnessed tremendous progress lately, leading to a surge of general interest from the public.
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Electronic Health Records
Multi-label text classification (MLTC) tasks in the medical domain often face long-tail label distribution, where rare classes have fewer training samples than frequent classes.
