找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Indolente Lymphome; Martin Dreyling,Marco Ladetto Book 2023 Der/die Herausgeber bzw. der/die Autor(en), exklusiv lizenziert an Springer Na

[復(fù)制鏈接]
樓主: 乳缽
41#
發(fā)表于 2025-3-28 16:16:35 | 只看該作者
42#
發(fā)表于 2025-3-28 21:51:01 | 只看該作者
43#
發(fā)表于 2025-3-29 02:37:50 | 只看該作者
44#
發(fā)表于 2025-3-29 04:55:06 | 只看該作者
Lena Specht,Mario Levis,Umberto Ricardiesult in mis-segmentations. In the present paper we demonstrate that an affine transformation, and particularly, an elastic transformation yield an excellent patient motion compensation which is a sufficient basis for the segmentation algorithm. We describe a registration procedure based on the esti
45#
發(fā)表于 2025-3-29 11:01:05 | 只看該作者
ed that a post-processing layer exploiting the devised visual features is able a) to reduce the false alarm rate by about 10% to 20%, while keeping the number of true positives almost unaltered, and b) to generalize over different object classes and application domains.
46#
發(fā)表于 2025-3-29 13:15:56 | 只看該作者
47#
發(fā)表于 2025-3-29 16:01:01 | 只看該作者
Luca Arcaini,Andreas Viardotthe edge side. While our architectural approach is described as a design oriented issue, in this work we present our experience with the deep neural network (DNN) computational core, using a literature dataset from an air compression engine. We demonstrate that our approach is not only comparable wi
48#
發(fā)表于 2025-3-29 22:09:25 | 只看該作者
49#
發(fā)表于 2025-3-30 03:42:02 | 只看該作者
Christian Buske,Véronique Leblondzation, contour evidence extraction, and contour estimation. For the binarization, a model based on the U-Net architecture is trained to convert an input image into its binarized version. The contour evidence extraction starts by recovering contour segments from a binarized image using concave conto
50#
發(fā)表于 2025-3-30 07:54:17 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-29 10:36
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
阳春市| 日土县| 屏南县| 巴南区| 扶风县| 将乐县| 贡觉县| 武安市| 桂东县| 大埔区| 偏关县| 顺昌县| 孟津县| 卢氏县| 沂水县| 太仆寺旗| 迁安市| 友谊县| 手机| 海城市| 娄烦县| 聂荣县| 安多县| 正蓝旗| 榕江县| 荆门市| 斗六市| 怀宁县| 满洲里市| 平昌县| 闻喜县| 新野县| 白银市| 乐清市| 普定县| 黑龙江省| 永福县| 玉溪市| 昌平区| 河北省| 灌阳县|