Purpose This study aimed to develop an artificial intelligence (AI) model to support the
determination of an appropriate implant drilling protocol using cone-beam computed …

Collecting data for machine learning (ML) development is a resource-intensive task that
necessitates identifying an efficient data collection approach. This study focuses on ML …

Differential diagnosis of malignant and benign mediastinal lymph nodes (LNs) through
invasive pathological tests is a complex and painful procedure because of sophisticated …

Objectives: Accurate contouring of anatomical structures allows for high-precision
radiotherapy planning, targeting the dose at treatment volumes and avoiding organs at risk …

Oral lichen planus (OLP) is a chronic inflammatory disease, and the common management
focuses on controlling inflammation with immunosuppressive therapy. While the response to …

Background Depression is a common condition among cancer patients, across several
points in the disease trajectory. Although presenting higher prevalence rates than the …

This article presents the problem of improving the classifier of handwritten letters from
historical alphabets, using letter classification algorithms and transliterating them to Latin …

Purpose: The assessment of bone age has applications in a wide variety of fields: from
orthodontics to immigration. The traditional non-automated methods are time-consuming …

요 약딥 러닝의 학습을 위해서 일반적으로 많은 양의 데이터가 필요하다. 그러나 많은 양의
데이터 세트를 만드는 것은 쉽지 않기 때문에, 회전, 반전 (flipping), 필터링 (filtering) 등의 …

Generally, a large data set is required for learning of deep learning. However, since it is not
easy to create large data sets, there are a lot of techniques that make small data sets larger …