[HTML][HTML] Açık Kaynak Veri Seti ile Eğitilen Yapay Zeka Modellerinin Klinik Ortamdaki Performans Analizi

R Terzi, MU Demirezen - 2023 - ankaratipfakultesimecmuasi.net
Amaç: Derin öğrenmeye dayalı tümör tespiti ve bölütleme yöntemleri uzun süreden beri
geliştirilmekte olup, günümüzde ise literatürde yaygın olarak yer almaktadır. Geliştirilen …

Medical image reader powered by artificial intelligence

TA Palok, S Ahmed, GK Anim, SSB Ratul, S Alam - 2023 - dspace.bracu.ac.bd
Misdiagnosis in medical imaging is a critical concern, risking patients' health due to the
pivotal role of radiologists' accuracy in diagnostics. Current cross-checking methods for …

Revealing Advanced Brain Tumour Detection: An In-Depth Study Leveraging Grad CAM Interpretability

D Joshi, S Zawar, V Ingale, Z Jamadar - International Joint Conference on …, 2022 - Springer
Adult primary brain tumours are a deadly illness that can strike anyplace. With image
processing techniques, the science of computer vision, and artificial intelligence (AI) in …

Loveleen Gaur

BM Sahoo - Springer
Explainable artificial intelligence (AI) lies at the core of many activity sectors that have
embraced new information technologies. Although the origins of AI can be traced back many …

Enhancing deep learning model explainability in brain tumor datasets using post-heuristic approaches

Κ Πασβάντης - dspace.lib.uom.gr
The application of deep learning models in medical diagnosis has showcased considerable
efficacy in recent years. Nevertheless, a notable limitation involves the inherent lack of …

Explainable Deep Learning Provides a Novel Pipeline for the Early Screening of Hepatocellular Carcinoma

S Li, Y Zhang, L Xing, P Yang, Q Zhang, H Xu… - Available at SSRN … - papers.ssrn.com
Background: The development of precise early monitoring methods for hepatocellular
carcinoma (HCC) around the pathogenesis is of great significance for its effective prevention …

[PDF][PDF] SMOKE SCENE DETECTION FROM SATELLITE IMAGERY USING DEEP LEARNING

R Aryal, P Thapa, M Karki - researchgate.net
The use of satellite remote sensing has expanded a variety of environmental analysis
applications. Forest fires are a serious threat to humans and other living things, but because …

[PDF][PDF] DEEP LEARNING MODEL FOR ACCURATE BRAIN TUMOR DETECTION USING CT AND MRI IMAGING

R Abirami, PK Kumar - kitspress.com
Brain tumors (BT) are a very common, deadly condition with a very poor prognosis at the
most aggressive grade. BT represent a prevalent and fatal condition with particularly poor …

[PDF][PDF] Brain Tumor Identification in MRI Images Utilizing Deep Features

LN Regmi, IP Chaulagain, SR Khadka, H Subedi… - 2018 - researchgate.net
Brain tumor is a potentially fatal neurological condition caused by the uncontrollable growth
of cells. Manually analyzing magnetic resonance images (MRIs) is insufficient for fast and …

[引用][C] Explainable Deep Learning for Neuroimaging: A Generalizable Approach for Differential Diagnosis of Brain Diseases

N Bibi, KM Curran, J Courtney - 2024