AIMC Topic: Image Processing, Computer-Assisted

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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes.

Scientific reports Jul 15, 2025
Accurate identification of Oudemansiella raphanipes growth stages is crucial for understanding its development and optimizing cultivation. However, deep learning methods for this task remain unexplored. This paper introduces OR-FCOS, an enhanced full...
Algorithms Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer
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Poincare guided geometric UNet for left atrial epicardial adipose tissue segmentation in Dixon MRI images.

Scientific reports Jul 15, 2025
Epicardial Adipose Tissue (EAT) is a recognized risk factor for cardiovascular diseases and plays a pivotal role in the pathophysiology of Atrial Fibrillation (AF). Accurate automatic segmentation of the EAT around the Left Atrium (LA) from Magnetic ...
Pericardium Epicardial Adipose Tissue Humans Female Image Processing, Computer-Assisted Middle Aged Aged Magnetic Resonance Imaging Deep Learning Male Imaging, Three-Dimensional Adipose Tissue Atrial Fibrillation Heart Atria
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Decision level scheme for fusing multiomics and histology slide images using deep neural network for tumor prognosis prediction.

Scientific reports Jul 15, 2025
Molecular biostatistical workflows in oncology often rely on predictive models that use multimodal data. Advances in deep learning and artificial intelligence technologies have enabled the multimodal fusion of large volumes of multimodal data. Here, ...
Multiomics Carcinoma, Non-Small-Cell Lung Female Breast Neoplasms Image Processing, Computer-Assisted Lung Neoplasms Deep Learning Humans Neural Networks, Computer Prognosis
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Driven early detection of chronic kidney cancer disease based on machine learning technique.

PloS one Jul 15, 2025
In recent times, chronic kidney cancer has been considered a significant cause of cancer, and Renal Cell Carcinoma (RCC) has become a significant prevalent among various kidney cancer conditions. The analysis of kidney cancer, an important and often ...
Humans Machine Learning Algorithms Renal Insufficiency, Chronic Early Detection of Cancer Kidney Neoplasms Deep Learning Image Processing, Computer-Assisted Carcinoma, Renal Cell
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Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods.

PloS one Jul 15, 2025
In complex geological environments, the morphology, orientation and distribution characteristics of cracks in the rock directly affect the stability assessment for rock masses and engineering safety decisions. However, the traditional manual interpre...
Geological Phenomena Deep Learning Image Processing, Computer-Assisted Geologic Sediments Algorithms
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Generative AI enables medical image segmentation in ultra low-data regimes.

Nature communications Jul 14, 2025
Semantic segmentation of medical images is pivotal in applications like disease diagnosis and treatment planning. While deep learning automates this task effectively, it struggles in ultra low-data regimes for the scarcity of annotated segmentation m...
Humans Image Processing, Computer-Assisted Diagnostic Imaging Algorithms Deep Learning
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Robustness evaluation against corruptions for Optical Diffraction Tomography-based classifiers.

Computers in biology and medicine Jul 13, 2025
Optical Diffraction Tomography (ODT) is a promising technique for three-dimensional imaging, but practical use demands rigorous robustness testing due to real-world noise factors. Despite the growing importance of machine learning safety, robustness ...
Humans Image Processing, Computer-Assisted Algorithms Tomography, Optical Imaging, Three-Dimensional Machine Learning
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Early breast cancer detection via infrared thermography using a CNN enhanced with particle swarm optimization.

Scientific reports Jul 13, 2025
Breast cancer remains the most prevalent cause of cancer-related mortality among women worldwide, with an estimated incidence exceeding 500,000 new cases annually. Timely diagnosis is vital for enhancing therapeutic outcomes and increasing survival p...
Image Processing, Computer-Assisted Algorithms Thermography Early Detection of Cancer Humans Female Infrared Rays Particle Swarm Optimization Neural Networks, Computer Breast Neoplasms
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A preprocessing method based on 3D U-Net for abdomen segmentation.

Computers in biology and medicine Jul 12, 2025
Deep learning methods have made significant progress in the field of biomedical automatic segmentation but still open to developments, especially due to the insufficient use of preprocessing methods. In this study, a pre-processing step is proposed b...
Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Abdomen Databases, Factual Deep Learning
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Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture.

Scientific reports Jul 12, 2025
The brain tumours originate in the brain or its surrounding structures, such as the pituitary and pineal glands, and can be benign or malignant. While benign tumours may grow into neighbouring tissues, metastatic tumours occur when cancer from other ...
Algorithms Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Pituitary Neoplasms Image Interpretation, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer
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