Automatic detection and multi-component segmentation of brain metastases in longitudinal MRI by Vincent Andrearczyk, Luis Schiappacasse, Daniel Abler, Marek Wodzinski, Andreas Hottinger, Matthieu Raccaud, Jean Bourhis, John O. Prior, Vincent Dunet, Adrien Depeurnge

“…Significance is considered as p < 0.05. A Dice Similarity Coefficient (DSC) of 0.79 and $$F_{1}$$ F 1 -score of 0.80 are obtained for the segmentation of new lesions. …”
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Fully automatic reconstruction of prostate high-dose-rate brachytherapy interstitial needles using two-phase deep learning-based segmentation and object tracking algorithms by Mohammad Mahdi Moradi, Zahra Siavashpour, Soheib Takhtardeshir, Eman Showkatian, Ramin Jaberi, Reza Ghaderi, Bahram Mofid, Farzad Taghizadeh-Hesary

“…The total number of needles in these slices of CT images was 8764, of which the employed pix2pix network was able to segment 98.72 % (8652 of total). Dice Similarity Coefficient (DSC) and IoU (Intersection over Union) between the network output and the ground truth were 0.95 and 0.90, respectively. …”
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Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional U-net with attention mechanism by Lu Lin, Yijia Zheng, Yanyu Li, Difei Jiang, Jian Cao, Jian Wang, Yueting Xiao, Xinsheng Mao, Chao Zheng, Yining Wang

“…The AI model's performance in segmenting coronary arteries was assessed using the Dice similarity coefficient (DSC) and recall. The comparison between the AI model and manual processing by experienced radiologists on vessel reformation was based on reformatted image quality (rIQ) scoring, post-processing time, and the number of necessary user interactions. …”
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Deep learning-based synthetic CT for dosimetric monitoring of combined conventional radiotherapy and lattice boost in large lung tumors by Hongwei Zeng, Xiangyu E, Minghe Lv, Su Zeng, Yue Feng, Wenhao Shen, Wenhui Guan, Yang Zhang, Ruping Zhao, Jingping Yu

“…After rigid and hybrid deformable registration of sCT and pCT, the mean distance-to-agreement was 0.80 ± 0.18 mm, and the mean Dice similarity coefficient was 0.97 ± 0.01. Monitoring dose accumulation over 20 CRT fractions showed an increase in high-dose regions of the GTV (P < 0.05) and a reduction in low-dose regions (P < 0.05). …”
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High-performance laser speckle contrast image vascular segmentation without delicate pseudo-label reliance by Shenglan Yao, Huiling Wu, Suzhong Fu, Shuting Ling, Kun Wang, Hongqin Yang, Yaqin He, Xiaolan Ma, Xiaofeng Ye, Xiaofei Wen, Qingliang Zhao

“…Furthermore, we demonstrate that our method is more robust and effective in mitigating performance degradation than traditional segmentation approaches on diverse style data sets, even when confronted with unfamiliar data. Importantly, the dice similarity coefficient exceeded 85% in a rat experiment. …”
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Automated Quantification of Retinopathy of Prematurity Stage via Ultrawidefield OCT by Spencer S. Burt, BA, Aaron S. Coyner, PhD, Elizabeth V. Roti, BS, Yakub Bayhaqi, PhD, John Jackson, MD, Mani K. Woodward, MS, Shuibin Ni, PhD, Susan R. Ostmo, MS, Guangru Liang, BS, Yali Jia, PhD, David Huang, MD, Michael F. Chiang, MD, Benjamin K. Young, MD, Yifan Jian, PhD, John Peter Campbell, MD

“…An additional held-out test data set of 60 B-scans from 6 infants was used to evaluate model performance. The Dice–Sorensen coefficient (DSC) comparing manual and automated segmentation of ANVTV was calculated. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…Multiple DL methods were developed with NAQ or HAQ using either SPACE or MRPAGE images and evaluated on their detection performance using positive predictive value (PPV), sensitivity, and F1 score and on their delineation performance using volumetric Dice similarity coefficient, PPV, and sensitivity on one internal and four additional test datasets (660 patients). …”
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Capturing Bone Signal in MRI of Pelvis, as a Large FOV Region, Using TWIST Sequence and Generating a 5-Class Attenuation Map for Prostate PET/MRI Imaging by Mehdi Shirin Shandiz PhD, Hamid Saligheh Rad PhD, Pardis Ghafarian PhD, Khadijeh Yaghoubi MSc, Mohammad Reza Ay PhD

“…Results: The ratio of SNR bone to SNR air cavity in LTE images was 0.8, this factor was increased to 4.4 in STE images. The Dice, Sensitivity, and Accuracy metrics for bone segmentation in proposed method were 72.4% ± 5.5%, 69.6% ± 7.5%, and 96.5% ± 3.5%, respectively, where the segmented CT served as reference. …”
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TECHNOLOGY OF LASER CUTTING OF SILICON WAFERS INTO ORGANIC LIGHT-EMITTING DIODE CHIPS by V. S. Kondratenko, V. I. Ivanov

“…Data for rating the merit of the surfaces of chips after the laser controlled thermocracking and dicing, namely, the availability and size of the chipping, as well as surface roughness are presented and compared. …”
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Preliminary Studies on the Development and Evaluation of Instant Pounded Yam from <i>Dioscorea alata</i> by Abiodun A Adeola, Bolanle O Otegbayo, Sola Ogunnoiki

“…Instant poundo yam flour was prepared from D. alata by peeling, dicing and immersing yam tubers in sodium metabisulphite solution (800 ppm for 20 min). …”
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DISTRIBUIÇÃO DA GORDURA CORPORAL SUBCUTANEA E ÍNDICES DE ADIPOSIDADE EM INDIVÍDUOS DE 20 A 67 ANOS DE IDADE by Adair da Silva Lopes, Markus Vinícius Nahas, Maria de Fátima da Silva Duarte, Cândido Simões Pires Neto

“… Este estudo teve como objetivo analisar a distribuição da gordura corporal subcutânea e ín­dices de adiposidade, em indivíduos de 20 a 67 anos de idade, de ambos os sexos (n=406). …”
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Physical properties of Alaska pollock surimi gel as affected by emulsified level and heating rates by Van-Thi Nguyen, Emiko Okazaki

“…Frozen Alaska pollock surimi (RA grade) was diced, mixed with ice water and 1.5% salt, and then blended with refined fish oil (10%) under four different mixing conditions to produce different levels of emulsified surimi paste. …”
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