Search Results - "Computer-assisted image analysis (Medicine)"

Transformer–CNN Fusion With Texture Features for Robust Multiclass Blood Cell Classification.

Authors: Eslamifar, Omid Soltani, Mohamadreza Rastegar Fatemi, Seyed Mohammad Jalal et al.

Source: Applied Computational Intelligence & Soft Computing; 7/13/2026, Vol. 2026, p1-13, 13p

Brain Iron Accumulation in Chronic Migraine: Pathophysiological Insights and Imaging Biomarkers for Personalized Therapy.

Authors: Kikui, Shoji Danno, Daisuke Takeshima, Takao et al.

Source: Acta Neurologica Scandinavica. 7/6/2026, Vol. 2026, p1-11. 11p.

Subjects: Migraine, Periaqueductal gray matter, Individualized medicine, Pathological physiology, Magnetic resonance imaging, Computer-assisted image analysis (Medicine), Magnetic susceptibility

GWO-Optimized Stacking Deep Learning Framework for Diabetic Retinopathy Detection Using Enhanced Retinal Imaging.

Authors: Nibedita, Arpita Sahu, Prabhat Kumar Patnaik, Srikanta

Source: IAENG International Journal of Computer Science; Jul2026, Vol. 53 Issue 7, p2506-2525, 20p

SCDNet 1.0: Adaptive CNN Framework for Sickle Cell Disease Detection with OTSU Segmentation and Gaussian Filter.

Authors: Jain, Vanita Dubey, Arun Kumar Jain, Achin

Source: Journal of Intelligent & Fuzzy Systems; Jul2026, Vol. 50 Issue 7, p2086-2100, 15p

Explainable AI for glaucoma detection and classification: a comprehensive review.

Authors: Abd El-Gawad, Ahmed M. Hassan, Sarah Elsharkawy, Mohamed et al.

Source: Artificial Intelligence Review; Jul2026, Vol. 59 Issue 7, p1-59, 59p

Smart Brain Tumor Segmentation and Classification Using Inception ResNet‐V2 and Eagle Eye Vision in IoMT.

Authors: Ashwini, A. M. Chirchi, Emmanvel Raj Sheeja Kumari, V. et al.

Source: Applied Computational Intelligence & Soft Computing; 6/30/2026, Vol. 2026, p1-30, 30p

Wrist arthro-CT: don't forget to check the foveal attachment.

Authors: Dejean-Servieres, Julien Delclaux, Stéphanie Adamski, Elorie et al.

Source: Insights into Imaging. 6/25/2026, Vol. 17 Issue 1, p1-10. 10p.

Intracranial Hemorrhage Detection Using Jensen–Shannon Guided Transformer with Adaptive Multi-Gradient Learning.

Authors: Chopra, Tanya Sharma, Bhisham Yadav, Dhirendra Prasad et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6246, 28p

Beta Normalization Aggregation-Based Ensemble Learning for Lung Cancer Classification: Evaluation on CT and Histopathological Images.

Authors: Abumohsen, Mobarak Costa-Montenegro, Enrique García-Méndez, Silvia et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6224, 30p

Research and Application of Digital Tongue Diagnosis Technology in Tongue Image Characteristics of Different Ethnic Groups.

Authors: Liu, Shi Suzuki, Monika Akiyama, Kazusei et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6217, 22p

Detection of the Pterygomaxillary Fissure on Panoramic Radiographs Using Deep Learning for Anatomical Landmark Identification.

Authors: Firincioglulari, Mujgan Aksu, Zeynep Lafci Fahrioglu, Sevda et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6174, 13p

A Hybrid ConvMixer–AC-RUNHHO Framework with Multi-Scale Patch Learning for Robust Breast Cancer Histopathological Image Classification.

Authors: Nair, Sumitha Ayyappan Suthies Goldy, Rimal Isaac Rajamony

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6144, 41p

Precise Geometric-Priors-Guided 3D Point Cloud Segmentation Network for Auricle Region: GeoPriors-3DEarSeg.

Authors: Yuan, Li Zuo, Wenhao Guo, Anting et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6033, 17p

A Dual-Stage Multimodal Alignment Approach for Robust Breast Cancer Diagnosis via Visual–Textual Computing.

Authors: Dogan, Ramazan Ozgur¹

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p5934, 26p

Automated Cataract Grading from Smartphone-Acquired External Eye Photographs Using Deep Learning.

Authors: Ragothaman, Shriharshinii Balaji, Janarthanam Jothi Lakshminarayanan, Vasudevan

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p5844, 14p

Pancreas Segmentation Using a Two-Stage Pipeline of Faster R-CNN and TransUNet.

Authors: Hong, Yunjung Tarimo, Servas Adolph Woo, Jiyoung

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p5764, 19p

Density-Aware Multi-Dataset Evaluation of Deep Learning for Mammographic Mass Detection and BI-RADS Classification.

Authors: Zepeda-Reyes, Hector E. Peregrina-Barreto, Hayde Lopez-Armas, Gabriela C.

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 12, p2080. 25p.

Multi-scale feature integration with enhanced cytomorph for high-accuracy cervical cytology classification.

Authors: İlgazi Kılıç, Elif Kılıç, Şafak

Source: PLoS ONE. 6/10/2026, Vol. 21 Issue 6, p1-32. 32p.

An interpretable ultrasound-based deep learning system for early breast cancer in a Chinese population.

Authors: Wu, Siqi Wang, Shenwen Liang, Di et al.

Source: Insights into Imaging. 6/4/2026, Vol. 17 Issue 1, p1-14. 14p.

Swin-Conv: A Hybrid Swin Transformer and Convolutional Network for Brain Tumor Segmentation.

Authors: Khadijah Wibawa, Helmie Arif Saputra, Ragil et al.

Source: Engineering, Technology & Applied Science Research; Jun2026, Vol. 16 Issue 3, p36447-36455, 9p