AIMC Topic: Deep Learning
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Oil Palm Fruits Dataset in Plantations for Harvest Estimation Using Digital Census and Smartphone.
Scientific data
Jun 10, 2025
This article presents a dataset of oil palm Fresh Fruit Bunches (FFBs) images from commercial plantations in Central Kalimantan, Indonesia, focusing on five maturity stages: Unripe, Underripe, Ripe, Flower, and Abnormal. The data collection involved ...
A plaque recognition algorithm for coronary OCT images by Dense Atrous Convolution and attention mechanism.
PloS one
Jun 10, 2025
Currently, plaque segmentation in Optical Coherence Tomography (OCT) images of coronary arteries is primarily carried out manually by physicians, and the accuracy of existing automatic segmentation techniques needs further improvement. To furnish eff...
ADC-MambaNet: a lightweight U-shaped architecture with mamba and multi-dimensional priority attention for medical image segmentation.
Biomedical physics & engineering express
Jun 9, 2025
Medical image segmentation is becoming a growing crucial step in assisting with disease detection and diagnosis. However, medical images often exhibit complex structures and textures, resulting in the need for highly complex methods. Particularly, wh...
AI-powered remote monitoring of brain responses to clear and incomprehensible speech via speckle pattern analysis.
Journal of biomedical optics
Jun 9, 2025
SIGNIFICANCE: Functional magnetic resonance imaging provides high spatial resolution but is limited by cost, infrastructure, and the constraints of an enclosed scanner. Portable methods such as functional near-infrared spectroscopy and electroencepha...
Artificial Intelligence for Head and Neck Squamous Cell Carcinoma: From Diagnosis to Treatment.
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Jun 9, 2025
Head and neck squamous cell carcinoma (HNSCC) remains a globally prevalent malignancy with high morbidity and mortality. Despite therapeutic advances, patient outcomes are hindered by tumor heterogeneity, treatment-related toxicity, and the limitatio...
Enhancing corn industry sustainability through deep learning hybrid models for price volatility forecasting.
PloS one
Jun 9, 2025
The fluctuations in corn prices not only increase uncertainty in the market but also affect farmers' planting decisions and income stability, while also impeding crucial investments in sustainable agricultural practices. Collectively, these factors j...
BanglaNewsClassifier: A machine learning approach for news classification in Bangla Newspapers using hybrid stacking classifiers.
PloS one
Jun 9, 2025
Bangla news floods the web, and the need for smarter and more efficient classification techniques is greater than ever. Previous studies mostly focused on traditional models, overlooking the potential of hybrid techniques to handle the ever-growing c...
Deep Learning Approaches for Predicting the Surface Tension of Ionic Liquids.
Journal of chemical information and modeling
Jun 6, 2025
Ionic liquids (ILs) are a novel class of solvents that have attracted significant attention due to their unique and tunable properties. Among their physiochemical characteristics, surface tension plays a critical role in various industrial applicatio...
PhenoDP: leveraging deep learning for phenotype-based case reporting, disease ranking, and symptom recommendation.
Genome medicine
Jun 6, 2025
BACKGROUND: Current phenotype-based diagnostic tools often struggle with accurate disease prioritization due to incomplete phenotypic data and the complexity of rare disease presentations. Additionally, they lack the ability to generate patient-cente...
Histopathologic deep learning model for predicting tumor response to hepatic arterial infusion chemotherapy plus TKIs and ICIs in large hepatocellular carcinoma.
Cancer imaging : the official publication of the International Cancer Imaging Society
Jun 6, 2025
BACKGROUND: While triplet therapy (HTI), which combines hepatic arterial infusion chemotherapy (HAIC) with tyrosine kinase inhibitors and immune checkpoint inhibitors, is widely used in the treatment of large hepatocellular carcinoma (HCC), there are...
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