AIMC Topic: Deep Learning
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Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images.
PloS one
Aug 11, 2025
BACKGROUND: Accurate classification of meningioma brain tumors is crucial for determining the appropriate treatment plan and improving patient outcomes. However, this task is challenging due to the slow-growing nature of these tumors and the potentia...
Impact of deep learning and post-processing algorithms performances on biodiversity metrics assessed on videos.
PloS one
Aug 11, 2025
Assessing the escalating biodiversity crisis, driven by climate change, habitat destruction, and exploitation, necessitates efficient monitoring strategies to assess species presence and abundance across diverse habitats. Video-based surveys using re...
Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm.
Scientific reports
Aug 10, 2025
Weeds and crops contribute to a endless resistance for similar assets, which leads to potential declines in crop production and enlarged agricultural expenses. Conventional models of weed control like extensive pesticide use, appear with the hassle o...
An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things.
Scientific reports
Aug 10, 2025
The Internet of Things (IoT) plays a significant part in the healthcare field. The growth of smart devices, smart sensors, and advanced lightweight communication protocols has created an opportunity to connect medical devices for monitoring biomedica...
Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition.
Scientific reports
Aug 10, 2025
Feature fusion is a widely adopted strategy in multi-biometrics to enhance reliability, performance and real-world applicability. While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on fe...
Improving early detection of Alzheimer's disease through MRI slice selection and deep learning techniques.
Scientific reports
Aug 10, 2025
Alzheimer's disease is a progressive neurodegenerative disorder marked by cognitive decline, memory loss, and behavioral changes. Early diagnosis, particularly identifying Early Mild Cognitive Impairment (EMCI), is vital for managing the disease and ...
Prediction of cervical cancer lymph node metastasis based on multisequence magnetic resonance imaging radiomics and deep learning features: a dual-center study.
Scientific reports
Aug 10, 2025
Cervical cancer is a leading cause of death from malignant tumors in women, and accurate evaluation of occult lymph node metastasis (OLNM) is crucial for optimal treatment. This study aimed to develop several predictive models-including Clinical mode...
Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.
Scientific reports
Aug 9, 2025
Brain stroke is an illness which affects almost every age group, particularly people over 65. There are two significant kinds of strokes: ischemic and hemorrhagic strokes. Blockage of brain vessels causes an ischemic stroke, while cracks in blood ves...
Deep learning model for early acute lymphoblastic leukemia detection using microscopic images.
Scientific reports
Aug 9, 2025
Cancer of bone marrow is classified as Acute Lymphoblastic Leukemia (ALL), an abnormal growth of lymphoid progenitor cells. It affects both children and adults and is the most predominant form of infantile cancer. Currently, there has been significan...
The integration of psychological education and moral dilemmas from a value perspective.
BMC psychology
Aug 9, 2025
The rapid evolution of internet technologies has emphasized the importance of integrating psychological education with moral dilemmas across diverse sectors. This paper investigates the interrelationship between psychological education and moral reas...
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