Titlebook: Oncologic Imaging: Soft Tissue Tumors; Heung Sik Kang,Sung Hwan Hong,Hye Jin Yoo Book 2017 Springer Science+Business Media Singapore 2017

Senescent

猛擊

Superficial Soft Tissue Massesceous, epidermoid, epidermal, infundibular, or keratin cysts (Kim et al. 2011a). Epidermal inclusion cysts are lined with stratified squamous epithelium and filled with a white, cheesy material, reflecting layers of keratin and cholesterol-rich debris (Hong et al. 2006). The cyst may be a congenital

故意釣到白楊

Masses That May Mimic Soft Tissue Tumorsynovial lining (McCarthy and McNally 2004). The mass arises from the joint capsule, ligaments, tendon sheaths, bursae, or subchondral bone (Bermejo et al. 2013). Ganglion is usually found in the periarticular soft tissues in areas under repetitive stress, with or without communication with joint spa

一起平行

face challenging, multifaceted global energy and climate crises. Drawing on narrative theory and feminist science studies, it explores how . written by contemporary women at the forefront of mechanical engineering research, professional, and educational practice, such as those included in this colle

COLIC

愛管閑事

Heung Sik Kang MD,Sung Hwan Hong MD,Ja-Young Choi MD,Hye Jin Yoo MDand efficient. This chapter brings together the stories of four women at the forefront of their fields, learning new ways to be successful. Together they share a love for education, fluids, and energy. What further connects them is that three authors overlapped as graduate students under the supervi

habile

袋鼠

Heung Sik Kang MD,Sung Hwan Hong MD,Ja-Young Choi MD,Hye Jin Yoo MDity of California, Davis. My postdoctoral research focused on developing a mobile agent system called Mobile-C and using Mobile-C to enable mobile robotic systems to dynamically accept and execute mobile software agents (computer programs). In 2007, I joined Michigan Technological University as an A

勉勵(lì)

In-Situ

Heung Sik Kang MD,Sung Hwan Hong MD,Ja-Young Choi MD,Hye Jin Yoo MD. However, there is still lack of studies on effectively quantifying the different lung infection areas caused by COVID-19. As a basic but challenging task of the diagnostic framework, distinguish infection areas in computed tomography (CT) images and help radiologists to determine the severity of t