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View article: Advancements and Challenges of Deep Learning in Diagnostic Radiology: A Systematic Literature Review
Advancements and Challenges of Deep Learning in Diagnostic Radiology: A Systematic Literature Review Open
The rapid integration of Deep Learning (DL) in medical imaging is revolutionizing radiology and addressing critical challenges in diagnostic accuracy and healthcare delivery. In Indonesia and other developing countries, the shortage of rad…
View article: FEW-SHOT LEARNING FOR AML CELL CLASSIFICATION USING PROTOTYPICAL NETWORKS
FEW-SHOT LEARNING FOR AML CELL CLASSIFICATION USING PROTOTYPICAL NETWORKS Open
Accurate blood cell classification is crucial for diagnosing Acute Myeloid Leukemia (AML) but limited medical data poses challenges for traditional machine learning models. This study presents a Few-Shot Learning (FSL) framework utilizing …
View article: Deep Learning-Based Clamping Force Prediction Using LSTM and Multi-Sensor Integration in a Telesurgical Master Robot
Deep Learning-Based Clamping Force Prediction Using LSTM and Multi-Sensor Integration in a Telesurgical Master Robot Open
View article: Application of Decision Support Systems for Selection of Radiotherapy Methods Breast Cancer Patients
Application of Decision Support Systems for Selection of Radiotherapy Methods Breast Cancer Patients Open
View article: COMPARISON OF IMAGE ENHANCEMENT METHODS FOR CHROMOSOME KARYOTYPE IMAGE ENHANCEMENT
COMPARISON OF IMAGE ENHANCEMENT METHODS FOR CHROMOSOME KARYOTYPE IMAGE ENHANCEMENT Open
The chromosome is a set of DNA structure that carry information about our life. The information can be obtained through Karyotyping. The process requires a clear image so the chromosome can be evaluate well. Preprocessing have to be done o…