AIMC Topic: Algorithms
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Predicting single-cell protein production from food-processing wastewater in sequencing batch reactors using ensemble learning.
Bioresource technology
Apr 19, 2025
Producing single-cell protein (SCP) from food-processing wastewater offers a sustainable approach to resource recovery, animal feed production, and wastewater treatment. Decision-makers need accurate system performance data under variable influent co...
Two-stage color fundus image registration via Keypoint Refinement and Confidence-Guided Estimation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 19, 2025
Color fundus images are widely used for diagnosing diseases such as Glaucoma, Cataracts, and Diabetic Retinopathy. The registration of color fundus images is crucial for assessing changes in fundus appearance to determine disease progression. In this...
Federated Learning in radiomics: A comprehensive meta-survey on medical image analysis.
Computer methods and programs in biomedicine
Apr 19, 2025
Federated Learning (FL) has emerged as a promising approach for collaborative medical image analysis while preserving data privacy, making it particularly suitable for radiomics tasks. This paper presents a systematic meta-analysis of recent surveys ...
Integrative analysis of signaling and metabolic pathways, immune infiltration patterns, and machine learning-based diagnostic model construction in major depressive disorder.
Scientific reports
Apr 19, 2025
Major depressive disorder (MDD) is a multifactorial disorder involving genetic and environmental factors, with unclear pathogenesis. This study aims to explore the pathogenic pathway of MDD and its relationship with immune responses and to discover i...
Explainable machine learning for predicting lung metastasis of colorectal cancer.
Scientific reports
Apr 19, 2025
Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning...
Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images.
Scientific reports
Apr 19, 2025
The most dangerous form of cancer is breast cancer. This disease is life-threatening because of its aggressive nature and high death rates. Therefore, early discovery increases the patient's survival. Mammography has recently been recommended as diag...
Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study.
Scientific reports
Apr 19, 2025
This study aimed to explore potential risk factors for severe endometriosis and to develop a model to predict the risk of severe endometriosis. A total of 308 patients with endometriosis were analyzed. Least absolute shrinkage and selection operator ...
Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment.
Scientific reports
Apr 19, 2025
Denial of Wallet (DoW) attacks are a cyber threat designed to utilize and deplete an organization's financial resources by generating excessive prices or charges in their cloud computing (CC) and serverless computing platforms. These threats are prim...
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography.
Medical image analysis
Apr 18, 2025
Deep learning-based medical image segmentation and surface mesh generation typically involve a sequential pipeline from image to segmentation to meshes, often requiring large training datasets while making limited use of prior geometric knowledge. Th...
Lightweight Multi-Stage Aggregation Transformer for robust medical image segmentation.
Medical image analysis
Apr 18, 2025
Capturing rich multi-scale features is essential to address complex variations in medical image segmentation. Multiple hybrid networks have been developed to integrate the complementary benefits of convolutional neural networks (CNN) and Transformers...
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