Pargorn Puttapirat

Xi'an Jiaotong University | XJTU · Department of Computer Science and Technology

Cancerous region detection and subtyping in whole-slide images (WSIs) are fundamental for renal cell carcinoma (RCC) diagnosis. The main challenge in the development of automated RCC diagnostic systems is the lack of large-scale datasets with precise annotations. In this paper, we propose a framework that employs a semi-supervised learning (SSL) me...

Background: Whole-slide images (WSIs) as a kind of image data are rapidly growing in the digital pathology domain. With unusual high resolution, these images make them hard to be supported by conventional tools or file formats. Thus, it obstructs data sharing and automated analysis. Here, we propose a library, LibMI, along with its open and standa...

Obtaining a large amount of labeled data in medical imaging is laborious and time-consuming, especially for histopathology. However, it is much easier and cheaper to get unlabeled data from whole-slide images (WSIs). Semi-supervised learning (SSL) is an effective way to utilize unlabeled data and alleviate the need for labeled data. For this reason...

Transition from conventional to digital pathology requires a new category of biomedical informatic infrastructure which could facilitate delicate pathological routine. Pathological diagnoses are sensitive to many external factors and is known to be subjective. Only systems that can meet strict requirements in pathology would be able to run along pa...

Pathological is crucial to cancer diagnosis. Usually, Pathologists draw their conclusion based on observed cell and tissue structure on histology slides. Rapid development in machine learning, especially deep learning have established robust and accurate classifiers. They are being used to analyze histopathological slides and assist pathologists in...

Histopathological images carry informative cellular visual phenotypes and have been digitalized in huge amount in medical institutes. However, the lack of software for annotating the specialized images has been a hurdle of fully exploiting the images for educating and researching, and enabling intelligent systems for automatic diagnosis or phenotyp...

In this paper, we study the realization of a multi-contact switch using the double-dressing regularity of probe, fluorescence, and six-wave mixing signals in a five-level ⁸⁵Rb atomic system. For the first time, we compare the dressing regularity of Rydberg states by observing electromagnetically induced transparency and signals. With the scanning p...

We investigate intensity noise correlation of hybrid signals generated through spontaneous parametric four-wave mixing and fourth-order fluorescence signals from the nitrogen-vacancy center in diamond. The degree of hybrid correlation changes with power, frequency detuning, and experimental temperature. A theoretical model including spontaneously g...

We investigate the realization of correlated light beams in parametrically amplified six-wave mixing (PA-SWM) process in a rubidium atomic ensemble. By applying the single external-dressing field into the parametrically amplified four-wave mixing (PA-FWM), we dressed PA-FWM as the superposition of pure PA-FWM and pure PA-SWM by Taylor expansion. Mo...

Fabricating electronic from solid-state quantum emitters is a promising strategy for the miniaturization and integration of electronic devices. However, the practical realization of solid-state quantum devices and circuits for signal transmission and processing at room temperature has remained challenging. Here, we investigate the multi-bunching by...

This paper investigates a framework to estimate hand posture from 2D image sequence using hand landmarks identification. The acquired 2D data will be combined with known human hand model and its constraints. Important landmarks of the hand in the image were extracted and identified to specify the location of that landmarks, then they will be matche...

This paper investigates automated segmentation of malaria parasites in images of Giemsa-stained thin blood film specimens. The Giemsa staining exhibits not only on the malaria parasites, but also platelets and artifacts. We aim to extract erythrocytes both normal and infected cells from other particles and separate overlapping cells. Our approach i...