Results 81 to 90 of about 14,783 (197)

Contour-Detected Normalized Residual Model for Kidney Stone Classification

open access: yesApplied Computational Intelligence and Soft Computing
Kidney stone classification is a critical yet complex task in medical imaging, traditionally performed using computed tomography (CT) and ultrasound scans. Manual interpretation of these images is time-consuming and prone to variability, highlighting the
Shyamala Devi M.   +3 more
doaj   +1 more source

การผสาน InceptionResNetV2 และ VGG19 สำหรับการจดจำโรคใบอ้อย

open access: yesRMUTSB ACADEMIC JOURNAL
การพัฒนาเทคนิคการจดจำโรคใบอ้อยถือเป็นแนวทางที่ท้าทาย เนื่องจากต้องเผชิญกับความหลากหลายของลักษณะโรคที่แสดงออกแตกต่างกันไปตามคุณลักษณะของใบพืช ไม่ว่าจะเป็นสี รูปร่าง พื้นผิว และรูปแบบการกระจายของโรคในเชิงพื้นที่ ซึ่งมีความซับซ้อนและเปลี่ยนแปลงได้ตามสภาวะแวดล้อม การวิเคราะห์ลักษณะดังกล่าวจึงจำเป็นต้องอาศัยเทคนิคขั้นสูงด้านการประมวลผลภาพและการเรียนร ...
openaire   +1 more source

Lung Cancer Detection Using CNN VGG19 + Model

open access: yesJournal of Electrical Systems
In the last many years, lung cancer has become a major public health concern. To examine cell breakdown in the lungs in its starting stages, doctors often use imaging modalities such as X-ray chest films, CT scans, MRIs, etc. The timing of diagnosis determines the course of therapy. Artificial intelligence (AI) is a hotspot for developing computational
openaire   +1 more source

Dysmorphic neurons express markers of inhibitory glycinergic signaling in focal cortical dysplasia IIb

open access: yesBrain Pathology, Volume 36, Issue 2, March 2026.
Deep learning tissue mapping can guide region of interest selection for spatial transcriptomic analyses. Using this method, a transcriptional catalogue of focal cortical dysplasia type IIb was generated, revealing enrichment for markers of inhibitory glycinergic signaling in cytomegalic dysmorphic neurons.
Ameesha Paliwal   +8 more
wiley   +1 more source

Classification of Indonesian adult forensic gender using cephalometric radiography with VGG16 and VGG19: a Preliminary research

open access: yesActa Odontologica Scandinavica
Background: The use of cephalometric pictures in dental radiology is widely acknowledged as a dependable technique for determining the gender of an individual.
Vitria Wuri Handayani   +4 more
doaj   +1 more source

Klasifikasi Kesegaran Ikan Pada Citra dengan VGG19

open access: yesAdopsi Teknologi dan Sistem Informasi (ATASI)
Ikan merupakan sumber makanan yang sangat bernutrisi dan berprotein tinggi untuk tubuh manusia, Sebagai konsumen memilih ikan dengan mutu yang baik untuk dikonsumsi baik oleh diri sendiri atau keluarga sangatlah penting, apalagi bagi ibu-ibu yang memiliki anak-anak yang masih dalam masa pertumbuhan.
Arisda Dwi Putri, Faisal Fajri Rahani
openaire   +1 more source

Tuning VGG19 hyperparameters for improved pneumonia classification

open access: yesThe Scientific Temper
This research focuses on the classification of chest X-ray (CXR) images using powerful VGG19 convolutional neural network (CNN)architecture. The classification task involves distinguishing between various chest conditions present in X-ray images, with the aim of assisting medical professionals in achieving accurate and efficient diagnoses.
K. Kalaiselvi, M. Kasthuri
openaire   +1 more source

Restricted Boltzmann machine with Sobel filter dense adversarial noise secured layer framework for flower species recognition

open access: yesScientific Reports
Recognition is an extremely high-level computer vision evaluating task that primarily involves categorizing objects by identifying and evaluating their key distinguishing characteristics.
Shyamala Devi M   +3 more
doaj   +1 more source

A Transfer Learning Approach: Early Prediction of Alzheimer’s Disease on US Healthy Aging Dataset

open access: yesMathematics
Alzheimer’s disease (AD) is a growing public health crisis, a very global health concern, and an irreversible progressive neurodegenerative disorder of the brain for which there is still no cure.
Kishor Kumar Reddy C   +5 more
doaj   +1 more source

Breast cancer detection and classification with digital breast tomosynthesis: a two-stage deep learning approach

open access: yesDiagnostic and Interventional Radiology
PURPOSE: The purpose of this study was to propose a new computer-assisted two-staged diagnosis system that combines a modified deep learning (DL) architecture (VGG19) for the classification of digital breast tomosynthesis (DBT) images with the detection ...
Yazeed Alashban
doaj   +1 more source

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