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Found 6 papers, 2 papers with code
Multilingual Corpus Creation for Multilingual Semantic Similarity Task
In this work, we describe a semi-automated framework to create a multilingual corpus which can be used for the multilingual semantic similarity task.
Lightweight Mobile Automated Assistant-to-physician for Global Lower-resource Areas
Importance: Lower-resource areas in Africa and Asia face a unique set of healthcare challenges: the dual high burden of communicable and non-communicable diseases; a paucity of highly trained primary healthcare providers in both rural and densely populated urban areas; and a lack of reliable, inexpensive internet connections.
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data
Mitochondrial diseases are currently untreatable due to our limited understanding of their pathology.
Deep Ensembling for Perceptual Image Quality Assessment
It is demonstrated that synthetic distortion databases cannot provide generalization beyond the distortion types used in the database and they are not ideal candidates for general-purpose image quality assessment.
Introducing NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies
There is currently no tool or pipeline that makes automatic and precise segmentation and curation of images of SM tissue cross-sections possible.
NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies
We believe that fully automated, precise, reproducible segmentation is possible by training ML models.
