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Showing 5 of 5 academic articles

A SAM2 and VLM-Based Automatic Radiological Reporting System for Pneumothorax Detection

Savaş Tunçer, Mustafa Yıldırım, Özal Yıldırım • Biomedicines (2026)

Background/Objectives: Pneumothorax, caused by air accumulation in the pleural space, can lead to lung collapse and, if diagnosis is delayed, respiratory or cardiovascular deterioration. Most deep-learning studies on pneumothorax address cl...

DOAJ Open Access (DOAJ) DOI: 10.3390/biomedicines14102312

Towards automated metaphase cell detection using foundation models: A SAM and DINO-based approach

M. Cihad Arslanoglu, Abdulkadir Albayrak, Huseyin Acar • Engineering Science and Technology, an International Journal (2026)

Karyotyping is a widely used laboratory technique to detect abnormalities in chromosomes. Karyotyping consists of many steps, including collecting samples, cell culturing and metaphase cell detection. Cytogeneticists examine all the images ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jestch.2025.102262

Machine eye for defects: Machine learning-based solution to identify and characterize topological defects in textured images of nematic materials

Haijie Ren, Weiqiang Wang, Wentao Tang, Rui Zhang • Physical Review Research (2024)

Topological defects play a key role in the structures and dynamics of liquid crystals and other ordered systems. There is a recent interest in studying defects in different biological systems with distinct textures. However, a robust method...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.6.013259

Intelligent Algorithm for Rock Core RQD Based on Object Detection and Image Segmentation to Suppress Noise and Vibration

Feng Xiong, Jintao Wang, Guohua Zhang, Xueming Shi et al. • Advances in Civil Engineering (2024)

In the construction of the civil engineering infrastructure, the noise and vibration are affected by the geological conditions, adopting specific construction techniques based on the geological conditions is of great significance in suppres...

DOAJ Open Access (DOAJ) DOI: 10.1155/2024/3599911